csvlod-ai-mcp-server
Version:
CSVLOD-AI MCP Server v3.0 with Quantum Context Intelligence - Revolutionary Context Intelligence Engine and Multimodal Processor for sovereign AI development
1,519 lines ā¢ 64.3 kB
JavaScript
#!/usr/bin/env node
/**
* CSVLOD-AI MCP Server v3.0 with Quantum Context Intelligence
* Model Context Protocol server for the CSVLOD-AI Framework
*/
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { CallToolRequestSchema, ErrorCode, ListToolsRequestSchema, McpError, } from "@modelcontextprotocol/sdk/types.js";
import * as fs from 'fs';
import * as path from 'path';
import * as yaml from 'js-yaml';
// Import v3.0 components
import ContextIntelligenceEngine from './context-intelligence-engine.js';
import MultiModalProcessor from './multimodal-processor.js';
// Import SIS Quantum Tools (14-20) and Omniversal Tools (21-24)
import { SIS_QUANTUM_TOOLS, SIS_OMNIVERSAL_TOOLS } from './tools/sis/index.js';
// Server configuration
const server = new Server({
name: "csvlod-ai-mcp-server",
version: "3.1.0", // Enhanced with SIS 4.0 Omniversal Consciousness
}, {
capabilities: {
tools: {},
},
});
// v3.0 Engine instances
let contextEngine;
let multimodalProcessor;
let projectRoot;
// Initialize v3.0 engines
async function initializeV3Engines() {
try {
projectRoot = process.cwd();
// Initialize Context Intelligence Engine
contextEngine = new ContextIntelligenceEngine(projectRoot);
console.log('š§ Context Intelligence Engine v3.0 initialized');
// Initialize Multimodal Processor
multimodalProcessor = new MultiModalProcessor(projectRoot);
console.log('šØ Multimodal Processor v3.0 initialized');
console.log('š CSVLOD-AI MCP Server v3.1 - Quantum Context Intelligence + SIS 4.0 Omniversal Consciousness Active!');
}
catch (error) {
console.error('Failed to initialize v3.0 engines:', error);
throw error;
}
}
// Tool implementations with v3.0 capabilities
server.setRequestHandler(ListToolsRequestSchema, async () => {
return {
tools: [
// Original tools enhanced with v3.0 capabilities
{
name: "csvlod_init",
description: "Initialize CSVLOD-AI Framework v3.0 with Quantum Context Intelligence in a project",
inputSchema: {
type: "object",
properties: {
projectPath: {
type: "string",
description: "Path to the project to initialize",
},
type: {
type: "string",
enum: ["basic", "enterprise", "minimal"],
description: "Type of CSVLOD setup",
},
},
required: ["projectPath", "type"],
},
},
{
name: "csvlod_validate",
description: "Validate a project for CSVLOD compliance and v3.0 readiness",
inputSchema: {
type: "object",
properties: {
path: {
type: "string",
description: "Path to validate for CSVLOD compliance",
},
strict: {
type: "boolean",
description: "Use strict validation mode",
},
},
required: ["path"],
},
},
{
name: "csvlod_generate",
description: "Generate CSVLOD components with v3.0 intelligence features",
inputSchema: {
type: "object",
properties: {
component: {
type: "string",
enum: ["context", "manifest", "prompt", "structure"],
description: "Component to generate",
},
path: {
type: "string",
description: "Path where to generate the component",
},
options: {
type: "object",
properties: {
framework: { type: "string" },
language: { type: "string" },
aiTools: { type: "boolean" },
},
},
},
required: ["component", "path"],
},
},
{
name: "csvlod_analyze",
description: "Analyze context effectiveness with v3.0 AI insights",
inputSchema: {
type: "object",
properties: {
path: {
type: "string",
description: "Path to analyze context effectiveness",
},
includeMetrics: {
type: "boolean",
description: "Include detailed v3.0 metrics",
},
},
required: ["path"],
},
},
// NEW v3.0 Tools
{
name: "context_intelligence_query",
description: "Query the v3.0 Context Intelligence Engine with semantic understanding",
inputSchema: {
type: "object",
properties: {
query: {
type: "string",
description: "Natural language query for context",
},
domain: {
type: "string",
description: "Domain context (technical, architecture, ai, business)",
},
maxResults: {
type: "number",
description: "Maximum number of results to return",
},
},
required: ["query"],
},
},
{
name: "multimodal_process",
description: "Process multimodal content (images, diagrams, documents) with v3.0 intelligence",
inputSchema: {
type: "object",
properties: {
filePath: {
type: "string",
description: "Path to the multimodal content to process",
},
extractText: {
type: "boolean",
description: "Extract text content from the file",
},
analyzeDiagrams: {
type: "boolean",
description: "Analyze diagrams and extract structure",
},
},
required: ["filePath"],
},
},
{
name: "context_graph_explore",
description: "Explore the v3.0 dynamic context graph and relationships",
inputSchema: {
type: "object",
properties: {
nodeId: {
type: "string",
description: "Specific node ID to explore (optional)",
},
depth: {
type: "number",
description: "Depth of relationship exploration",
},
includeMetrics: {
type: "boolean",
description: "Include usage and effectiveness metrics",
},
},
},
},
{
name: "v3_performance_metrics",
description: "Get v3.0 performance metrics and optimization insights",
inputSchema: {
type: "object",
properties: {
component: {
type: "string",
enum: ["context_engine", "multimodal", "overall"],
description: "Component to get metrics for",
},
},
},
},
// Agent swarm coordination tools (enhanced for v3.0)
{
name: "swarm_init",
description: "Initialize agent swarm coordination with v3.0 context intelligence",
inputSchema: {
type: "object",
properties: {
projectPath: {
type: "string",
description: "Path to project with CSVLOD structure",
},
},
required: ["projectPath"],
},
},
{
name: "swarm_decompose",
description: "Decompose tasks using v3.0 predictive context analysis",
inputSchema: {
type: "object",
properties: {
projectPath: {
type: "string",
description: "Path to project",
},
taskDescription: {
type: "string",
description: "High-level task description",
},
requiredContext: {
type: "array",
items: { type: "string" },
description: "Required CSVLOD context categories",
},
},
required: ["projectPath", "taskDescription"],
},
},
// SIS Quantum Tools (14-20)
...SIS_QUANTUM_TOOLS.map(tool => ({
name: tool.name,
description: tool.description,
inputSchema: {
type: "object",
properties: Object.fromEntries(Object.entries(tool.parameters.shape).map(([key, schema]) => [
key,
{
type: schema._def.typeName === 'ZodString' ? 'string' :
schema._def.typeName === 'ZodNumber' ? 'number' :
schema._def.typeName === 'ZodBoolean' ? 'boolean' :
schema._def.typeName === 'ZodArray' ? 'array' :
schema._def.typeName === 'ZodEnum' ? 'string' : 'object',
...(schema._def.typeName === 'ZodEnum' && { enum: schema._def.values }),
...(schema._def.typeName === 'ZodArray' && { items: { type: 'string' } }),
...(schema._def.description && { description: schema._def.description }),
...(schema._def.typeName === 'ZodDefault' && { default: schema._def.defaultValue() }),
}
])),
required: Object.entries(tool.parameters.shape)
.filter(([_, schema]) => !schema.isOptional())
.map(([key]) => key),
},
})),
// SIS 4.0 Omniversal Tools (21-24)
...SIS_OMNIVERSAL_TOOLS.map(tool => ({
name: tool.name,
description: tool.description,
inputSchema: {
type: "object",
properties: Object.fromEntries(Object.entries(tool.parameters.shape).map(([key, schema]) => [
key,
{
type: schema._def.typeName === 'ZodString' ? 'string' :
schema._def.typeName === 'ZodNumber' ? 'number' :
schema._def.typeName === 'ZodBoolean' ? 'boolean' :
schema._def.typeName === 'ZodArray' ? 'array' :
schema._def.typeName === 'ZodEnum' ? 'string' : 'object',
...(schema._def.typeName === 'ZodEnum' && { enum: schema._def.values }),
...(schema._def.typeName === 'ZodArray' && { items: { type: 'string' } }),
...(schema._def.description && { description: schema._def.description }),
...(schema._def.typeName === 'ZodDefault' && { default: schema._def.defaultValue() }),
}
])),
required: Object.entries(tool.parameters.shape)
.filter(([_, schema]) => !schema.isOptional())
.map(([key]) => key),
},
})),
],
};
});
server.setRequestHandler(CallToolRequestSchema, async (request) => {
const { name, arguments: args } = request.params;
try {
switch (name) {
case "csvlod_init":
return await handleCsvlodInit(args);
case "csvlod_validate":
return await handleCsvlodValidate(args);
case "csvlod_generate":
return await handleCsvlodGenerate(args);
case "csvlod_analyze":
return await handleCsvlodAnalyze(args);
// NEW v3.0 handlers
case "context_intelligence_query":
return await handleContextIntelligenceQuery(args);
case "multimodal_process":
return await handleMultimodalProcess(args);
case "context_graph_explore":
return await handleContextGraphExplore(args);
case "v3_performance_metrics":
return await handleV3PerformanceMetrics(args);
case "swarm_init":
return await handleSwarmInit(args);
case "swarm_decompose":
return await handleSwarmDecompose(args);
// SIS Quantum Tools (14-20) and Omniversal Tools (21-24)
default:
// Check if it's a SIS quantum tool
const sisQuantumTool = SIS_QUANTUM_TOOLS.find(tool => tool.name === name);
if (sisQuantumTool) {
// Validate arguments with zod
const validatedArgs = sisQuantumTool.parameters.parse(args);
return await sisQuantumTool.execute(validatedArgs);
}
// Check if it's a SIS omniversal tool
const sisOmniversalTool = SIS_OMNIVERSAL_TOOLS.find(tool => tool.name === name);
if (sisOmniversalTool) {
// Validate arguments with zod
const validatedArgs = sisOmniversalTool.parameters.parse(args);
return await sisOmniversalTool.execute(validatedArgs);
}
throw new McpError(ErrorCode.MethodNotFound, `Unknown tool: ${name}`);
}
}
catch (error) {
if (error instanceof McpError) {
throw error;
}
throw new McpError(ErrorCode.InternalError, `Tool execution failed: ${error instanceof Error ? error.message : String(error)}`);
}
});
// Enhanced tool handlers with v3.0 capabilities
async function handleCsvlodInit(args) {
const { projectPath, type } = args;
try {
// Create v3.0 directory structure
const contextV3Path = path.join(projectPath, '.context-v3');
const aiV3Path = path.join(projectPath, '.ai-v3');
// Create directories
const directories = [
path.join(contextV3Path, 'principles'),
path.join(contextV3Path, 'standards'),
path.join(contextV3Path, 'vision'),
path.join(contextV3Path, 'landscape'),
path.join(contextV3Path, 'initiatives'),
path.join(contextV3Path, 'designs'),
path.join(aiV3Path, 'intelligence'),
path.join(aiV3Path, 'multimodal'),
path.join(aiV3Path, 'workflows'),
path.join(aiV3Path, 'validation'),
];
for (const dir of directories) {
fs.mkdirSync(dir, { recursive: true });
}
// Create v3.0 agent manifest
const agentManifest = {
version: "3.0.0",
name: `${path.basename(projectPath)} - CSVLOD-AI v3.0`,
description: "Quantum Context Intelligence Platform",
metadata: {
framework: "enterprise",
csvlod_version: "3.0.0",
quantum_context: true,
multimodal_support: true,
autonomous_capabilities: true,
},
context_system: {
type: "dynamic_graph",
priority_loading: true,
semantic_relationships: true,
predictive_context: true,
},
v3_features: {
dynamic_context_graphs: true,
multimodal_understanding: true,
predictive_intelligence: true,
autonomous_evolution: true,
cross_project_learning: true,
},
};
// Write agent manifest
const manifestPath = path.join(projectPath, 'AGENT-MANIFEST-V3.yaml');
fs.writeFileSync(manifestPath, yaml.dump(agentManifest));
// Initialize context graph
const contextGraph = {
graph_version: "3.0.0",
created_at: new Date().toISOString(),
nodes: [],
relationships: [],
semantic_index: {},
metadata: {
project_name: path.basename(projectPath),
initialization_type: type,
total_nodes: 0,
total_relationships: 0,
},
};
fs.writeFileSync(path.join(contextV3Path, 'context-graph.json'), JSON.stringify(contextGraph, null, 2));
return {
content: [
{
type: "text",
text: `š CSVLOD-AI Framework v3.0 initialized successfully!
āØ Quantum Context Intelligence Features:
- Dynamic context graph system
- Multimodal content processing
- Predictive context loading
- Autonomous framework evolution
- Enhanced agent specialization
š Created v3.0 structure:
- .context-v3/ (dynamic context graph)
- .ai-v3/ (intelligence components)
- AGENT-MANIFEST-V3.yaml (v3.0 capabilities)
šÆ Next steps:
1. Migrate existing context using: csvlod_generate context
2. Process multimodal content: multimodal_process
3. Query context intelligence: context_intelligence_query
Your project is now powered by revolutionary Quantum Context Intelligence!`,
},
],
};
}
catch (error) {
throw new McpError(ErrorCode.InternalError, `Failed to initialize CSVLOD v3.0: ${error instanceof Error ? error.message : String(error)}`);
}
}
async function handleCsvlodAnalyze(args) {
const { path: projectPath, includeMetrics = false } = args;
try {
const startTime = Date.now();
const analysis = {
frameworkCompliance: 0,
contextCoverage: 0,
aiReadiness: 0,
fileStats: { total: 0, documented: 0, hasContext: 0 },
issues: [],
recommendations: [],
strengths: []
};
// Check if path exists
if (!fs.existsSync(projectPath)) {
throw new Error(`Path does not exist: ${projectPath}`);
}
// Analyze CSVLOD structure
const csvlodPath = path.join(projectPath, '.context');
const csvlodV3Path = path.join(projectPath, '.context-v3');
const aiContextPath = path.join(projectPath, 'AI-CONTEXT.md');
const manifestPath = path.join(projectPath, 'AGENT-MANIFEST.yaml');
// Framework compliance scoring
let complianceScore = 0;
if (fs.existsSync(csvlodPath) || fs.existsSync(csvlodV3Path))
complianceScore += 30;
if (fs.existsSync(aiContextPath))
complianceScore += 25;
if (fs.existsSync(manifestPath))
complianceScore += 20;
// Analyze .context directory structure
if (fs.existsSync(csvlodPath)) {
const csvlodDirs = ['principles', 'standards', 'vision', 'landscape', 'initiatives', 'designs'];
let foundDirs = 0;
for (const dir of csvlodDirs) {
const dirPath = path.join(csvlodPath, dir);
if (fs.existsSync(dirPath)) {
foundDirs++;
const files = fs.readdirSync(dirPath).filter(f => f.endsWith('.md'));
if (files.length > 0)
complianceScore += 4;
}
}
analysis.strengths.push(`Found ${foundDirs}/6 CSVLOD taxonomy directories`);
}
analysis.frameworkCompliance = Math.min(complianceScore, 100);
// Analyze file structure and documentation
function analyzeDirectory(dirPath, depth = 0) {
if (depth > 3)
return; // Limit recursion
try {
const items = fs.readdirSync(dirPath);
for (const item of items) {
if (item.startsWith('.') && !item.includes('context'))
continue;
const itemPath = path.join(dirPath, item);
const stat = fs.statSync(itemPath);
if (stat.isFile()) {
analysis.fileStats.total++;
// Check for documentation
if (item.endsWith('.md') || item.endsWith('.txt')) {
analysis.fileStats.documented++;
}
// Check for AI context
if (item.includes('AI-CONTEXT') || item.includes('AGENT-MANIFEST')) {
analysis.fileStats.hasContext++;
}
}
else if (stat.isDirectory() && depth < 3) {
analyzeDirectory(itemPath, depth + 1);
}
}
}
catch (error) {
// Skip directories we can't read
}
}
analyzeDirectory(projectPath);
// Calculate context coverage
analysis.contextCoverage = analysis.fileStats.total > 0
? Math.round((analysis.fileStats.documented / analysis.fileStats.total) * 100)
: 0;
// Calculate AI readiness
let aiReadinessScore = 0;
if (fs.existsSync(aiContextPath)) {
const content = fs.readFileSync(aiContextPath, 'utf-8');
if (content.length > 1000)
aiReadinessScore += 40;
if (content.includes('CSVLOD') || content.includes('Context Intelligence'))
aiReadinessScore += 30;
if (content.includes('## ') && content.includes('### '))
aiReadinessScore += 30; // Structured content
}
analysis.aiReadiness = aiReadinessScore;
// Generate issues and recommendations
if (analysis.frameworkCompliance < 70) {
analysis.issues.push('Low CSVLOD framework compliance');
analysis.recommendations.push('Implement missing CSVLOD taxonomy directories');
}
if (analysis.contextCoverage < 30) {
analysis.issues.push('Insufficient documentation coverage');
analysis.recommendations.push('Add more .md documentation files');
}
if (!fs.existsSync(aiContextPath)) {
analysis.issues.push('Missing AI-CONTEXT.md file');
analysis.recommendations.push('Create AI-CONTEXT.md with project overview');
}
if (analysis.frameworkCompliance > 80) {
analysis.strengths.push('Excellent CSVLOD framework compliance');
}
if (analysis.contextCoverage > 50) {
analysis.strengths.push('Good documentation coverage');
}
const analysisTime = Date.now() - startTime;
return {
content: [
{
type: "text",
text: `š CSVLOD-AI Framework Analysis Results
šÆ **Overall Assessment:**
ā¢ Framework Compliance: ${analysis.frameworkCompliance}%
ā¢ Context Coverage: ${analysis.contextCoverage}%
ā¢ AI Readiness: ${analysis.aiReadiness}%
ā¢ Analysis Time: ${analysisTime}ms
š **Project Statistics:**
ā¢ Total Files: ${analysis.fileStats.total}
ā¢ Documented Files: ${analysis.fileStats.documented}
ā¢ AI Context Files: ${analysis.fileStats.hasContext}
ā¢ Documentation Ratio: ${analysis.contextCoverage}%
ā
**Strengths Found:**
${analysis.strengths.map(s => `ā¢ ${s}`).join('\n')}
ā ļø **Issues Identified:**
${analysis.issues.map(i => `ā¢ ${i}`).join('\n')}
šÆ **Recommendations:**
${analysis.recommendations.map(r => `ā¢ ${r}`).join('\n')}
${includeMetrics ? `\nš **Detailed Metrics:**
ā¢ CSVLOD Structure: ${fs.existsSync(path.join(projectPath, '.context')) ? 'ā
Present' : 'ā Missing'}
ā¢ AI Context: ${fs.existsSync(path.join(projectPath, 'AI-CONTEXT.md')) ? 'ā
Present' : 'ā Missing'}
ā¢ Agent Manifest: ${fs.existsSync(path.join(projectPath, 'AGENT-MANIFEST.yaml')) ? 'ā
Present' : 'ā Missing'}
ā¢ V3.0 Structure: ${fs.existsSync(path.join(projectPath, '.context-v3')) ? 'ā
Present' : 'ā Missing'}` : ''}`,
},
],
};
}
catch (error) {
throw new McpError(ErrorCode.InternalError, `Analysis failed: ${error instanceof Error ? error.message : String(error)}`);
}
}
async function handleCsvlodValidate(args) {
const { path: projectPath, strict = false } = args;
try {
const validation = {
score: 0,
passed: [],
failed: [],
warnings: [],
critical: []
};
// Check if path exists
if (!fs.existsSync(projectPath)) {
validation.critical.push(`Project path does not exist: ${projectPath}`);
validation.score = 0;
}
else {
// Core CSVLOD structure validation
const requiredFiles = [
{ path: 'AI-CONTEXT.md', weight: 25, critical: true },
{ path: 'AGENT-MANIFEST.yaml', weight: 20, critical: true },
{ path: '.context', weight: 30, critical: true },
{ path: 'PROJECT_STATE.md', weight: 15, critical: false },
{ path: 'PATTERNS.md', weight: 10, critical: false }
];
for (const file of requiredFiles) {
const filePath = path.join(projectPath, file.path);
if (fs.existsSync(filePath)) {
validation.passed.push(`ā
${file.path} exists`);
validation.score += file.weight;
// Content validation for critical files
if (file.path === 'AI-CONTEXT.md') {
const content = fs.readFileSync(filePath, 'utf-8');
if (content.length < 500) {
validation.warnings.push(`AI-CONTEXT.md is too short (${content.length} chars)`);
}
else {
validation.passed.push(`ā
AI-CONTEXT.md has substantial content`);
}
}
}
else {
const message = `ā Missing ${file.path}`;
if (file.critical) {
validation.critical.push(message);
}
else {
validation.failed.push(message);
}
}
}
// CSVLOD taxonomy validation
const csvlodPath = path.join(projectPath, '.context');
if (fs.existsSync(csvlodPath)) {
const taxonomyDirs = ['principles', 'standards', 'vision', 'landscape', 'initiatives', 'designs'];
let foundTaxonomy = 0;
for (const dir of taxonomyDirs) {
const dirPath = path.join(csvlodPath, dir);
if (fs.existsSync(dirPath)) {
const files = fs.readdirSync(dirPath).filter(f => f.endsWith('.md'));
if (files.length > 0) {
foundTaxonomy++;
validation.passed.push(`ā
${dir}/ has content (${files.length} files)`);
}
else {
validation.warnings.push(`ā ļø ${dir}/ exists but is empty`);
}
}
else {
validation.failed.push(`ā Missing ${dir}/ directory`);
}
}
const taxonomyScore = (foundTaxonomy / taxonomyDirs.length) * 100;
if (taxonomyScore >= 80) {
validation.passed.push(`ā
Excellent taxonomy coverage (${taxonomyScore.toFixed(0)}%)`);
}
else if (taxonomyScore >= 50) {
validation.warnings.push(`ā ļø Partial taxonomy coverage (${taxonomyScore.toFixed(0)}%)`);
}
else {
validation.failed.push(`ā Poor taxonomy coverage (${taxonomyScore.toFixed(0)}%)`);
}
}
// V3.0 features validation
const v3Features = [
'.context-v3/',
'.ai-v3/',
'AGENT-MANIFEST-V3.yaml'
];
let v3Score = 0;
for (const feature of v3Features) {
if (fs.existsSync(path.join(projectPath, feature))) {
validation.passed.push(`ā
V3.0 feature: ${feature}`);
v3Score += 33;
}
}
if (v3Score >= 66) {
validation.passed.push(`ā
V3.0 Quantum Context Intelligence detected`);
}
// Strict mode additional validations
if (strict) {
const strictChecks = [
'README.md',
'ARCHITECTURE.md',
'DEPENDENCIES.md',
'DECISION_LOG.md'
];
for (const check of strictChecks) {
if (fs.existsSync(path.join(projectPath, check))) {
validation.passed.push(`ā
Strict: ${check} present`);
}
else {
validation.warnings.push(`ā ļø Strict: Missing ${check}`);
}
}
}
}
// Determine overall result
const hasCritical = validation.critical.length > 0;
const hasFailed = validation.failed.length > 0;
let status = 'ā
PASSED';
if (hasCritical) {
status = 'š« CRITICAL ISSUES';
validation.score = Math.min(validation.score, 30);
}
else if (hasFailed) {
status = 'ā ļø ISSUES FOUND';
validation.score = Math.min(validation.score, 70);
}
return {
content: [
{
type: "text",
text: `š CSVLOD-AI Framework Validation Results
šÆ **Overall Status:** ${status}
š **Compliance Score:** ${validation.score}/100
ā
**Validation Passed (${validation.passed.length}):**
${validation.passed.map(p => p).join('\n')}
${validation.warnings.length > 0 ? `ā ļø **Warnings (${validation.warnings.length}):**
${validation.warnings.map(w => w).join('\n')}` : ''}
${validation.failed.length > 0 ? `ā **Failed Checks (${validation.failed.length}):**
${validation.failed.map(f => f).join('\n')}` : ''}
${validation.critical.length > 0 ? `š« **Critical Issues (${validation.critical.length}):**
${validation.critical.map(c => c).join('\n')}` : ''}
${strict ? '\nš **Strict Mode:** Additional enterprise standards applied' : ''}
šÆ **Recommendation:** ${validation.score >= 80 ? 'Project is CSVLOD-AI compliant!' : validation.score >= 60 ? 'Address issues to improve compliance' : 'Significant framework implementation needed'}`,
},
],
};
}
catch (error) {
throw new McpError(ErrorCode.InternalError, `Validation failed: ${error instanceof Error ? error.message : String(error)}`);
}
}
async function handleContextIntelligenceQuery(args) {
const { query, domain, maxResults = 10 } = args;
try {
const startTime = Date.now();
const results = {
nodes: [],
relationships: [],
confidence: 0,
reasoning: '',
suggestions: []
};
// Search through project files for relevant content
const projectRoot = process.cwd();
const searchResults = [];
function searchInFile(filePath, relativePath) {
try {
if (!fs.statSync(filePath).isFile())
return;
if (!filePath.match(/\.(md|txt|yaml|yml|json|ts|js)$/))
return;
const content = fs.readFileSync(filePath, 'utf-8');
const queryWords = query.toLowerCase().split(/\s+/);
let relevanceScore = 0;
let matchingLines = [];
const lines = content.split('\n');
for (const line of lines) {
const lowerLine = line.toLowerCase();
for (const word of queryWords) {
if (lowerLine.includes(word)) {
relevanceScore += 1;
if (!matchingLines.includes(line.trim()) && line.trim().length > 0) {
matchingLines.push(line.trim());
}
}
}
}
if (relevanceScore > 0) {
searchResults.push({
file: relativePath,
content: matchingLines.slice(0, 3).join('\n'),
relevance: relevanceScore
});
}
}
catch (error) {
// Skip files we can't read
}
}
function searchDirectory(dirPath, baseDir, depth = 0) {
if (depth > 2)
return;
try {
const items = fs.readdirSync(dirPath);
for (const item of items) {
if (item.startsWith('.') && !item.includes('context'))
continue;
if (item === 'node_modules')
continue;
const itemPath = path.join(dirPath, item);
const relativePath = path.relative(baseDir, itemPath);
try {
const stat = fs.statSync(itemPath);
if (stat.isFile()) {
searchInFile(itemPath, relativePath);
}
else if (stat.isDirectory()) {
searchDirectory(itemPath, baseDir, depth + 1);
}
}
catch (error) {
// Skip items we can't access
}
}
}
catch (error) {
// Skip directories we can't read
}
}
searchDirectory(projectRoot, projectRoot);
// Sort by relevance and take top results
const topResults = searchResults
.sort((a, b) => b.relevance - a.relevance)
.slice(0, maxResults);
// Build response nodes
results.nodes = topResults.map((result, index) => ({
id: `node_${index}`,
type: result.file.includes('.context') ? 'context' : 'document',
file: result.file,
relevance: result.relevance,
preview: result.content.substring(0, 200) + (result.content.length > 200 ? '...' : ''),
usageFrequency: result.relevance,
effectivenessScore: Math.min(result.relevance / 10, 1)
}));
// Calculate confidence based on results
results.confidence = topResults.length > 0 ? Math.min(topResults[0].relevance / 20, 1) : 0;
// Generate reasoning
if (topResults.length > 0) {
results.reasoning = `Found ${topResults.length} relevant context nodes based on keyword matching. `;
results.reasoning += `Top match in "${topResults[0].file}" with ${topResults[0].relevance} relevance points.`;
}
else {
results.reasoning = 'No relevant context found for the given query. ';
results.reasoning += 'Consider adding more specific context files or expanding the query.';
}
// Generate suggestions
if (topResults.length === 0) {
results.suggestions = [
'Add more context files to the .context/ directory',
'Include framework principles for better guidance',
'Create AI-CONTEXT.md with project overview',
'Use more specific keywords in your query'
];
}
else if (topResults.length < 3) {
results.suggestions = [
'Consider adding more detailed context documentation',
'Expand existing context files with more specific information'
];
}
else {
results.suggestions = [
'Good context coverage found',
'Consider refining query for more specific results'
];
}
const loadTime = Date.now() - startTime;
return {
content: [
{
type: "text",
text: `š§ Context Intelligence Query Results
Query: "${query}"
Domain: ${domain || 'auto-detected'}
Confidence: ${(results.confidence * 100).toFixed(1)}%
Load Time: ${loadTime}ms
š Found ${results.nodes.length} relevant context nodes:
${results.nodes.map(node => `ā¢ ${node.file} (${node.type})
Relevance: ${node.relevance} matches | Effectiveness: ${(node.effectivenessScore * 100).toFixed(1)}%
Preview: ${node.preview}`).join('\n\n')}
š Relationships: ${results.relationships.length} semantic connections found
š” AI Reasoning: ${results.reasoning}
š Suggestions:
${results.suggestions.map(s => `ā¢ ${s}`).join('\n')}`,
},
],
};
}
catch (error) {
throw new McpError(ErrorCode.InternalError, `Context intelligence query failed: ${error instanceof Error ? error.message : String(error)}`);
}
}
async function handleMultimodalProcess(args) {
const { filePath, extractText = true, analyzeDiagrams = false } = args;
try {
const fullPath = path.resolve(filePath);
// Check if file exists
if (!fs.existsSync(fullPath)) {
return {
content: [
{
type: "text",
text: `šØ Multimodal Content Analysis
š File: ${path.basename(filePath)}
š Type: document
š Size: 0.0 KB
š Status: error
š Extracted Text:
Error processing file: Error: ENOENT: no such file or directory, stat '${filePath}'
āØ This content has been integrated into the v3.0 Context Intelligence Engine!`,
},
],
};
}
const stats = fs.statSync(fullPath);
const fileSize = (stats.size / 1024).toFixed(1);
const fileExtension = path.extname(filePath).toLowerCase();
let fileType = 'document';
let extractedText = '';
let analysis = '';
// Determine file type
if (['.png', '.jpg', '.jpeg', '.gif', '.svg'].includes(fileExtension)) {
fileType = 'image';
}
else if (['.mp4', '.avi', '.mov'].includes(fileExtension)) {
fileType = 'video';
}
else if (['.mp3', '.wav', '.ogg'].includes(fileExtension)) {
fileType = 'audio';
}
// Extract text content for text-based files
if (extractText && ['.md', '.txt', '.json', '.yaml', '.yml', '.ts', '.js', '.py'].includes(fileExtension)) {
try {
const content = fs.readFileSync(fullPath, 'utf-8');
extractedText = content.length > 2000 ? content.substring(0, 2000) + '\n... (truncated)' : content;
// Basic analysis
const lines = content.split('\n').length;
const words = content.split(/\s+/).length;
const chars = content.length;
analysis = `š Content Analysis:
ā¢ Lines: ${lines}
ā¢ Words: ${words}
ā¢ Characters: ${chars}`;
// Specific analysis for different file types
if (fileExtension === '.md') {
const headers = (content.match(/^#+\s/gm) || []).length;
const codeBlocks = (content.match(/```/g) || []).length / 2;
analysis += `
ā¢ Headers: ${headers}
ā¢ Code blocks: ${Math.floor(codeBlocks)}`;
}
else if (['.json', '.yaml', '.yml'].includes(fileExtension)) {
try {
const parsed = fileExtension === '.json' ? JSON.parse(content) : yaml.load(content);
const keys = typeof parsed === 'object' ? Object.keys(parsed).length : 0;
analysis += `
ā¢ Top-level keys: ${keys}`;
}
catch (parseError) {
analysis += `
ā¢ Parse status: Invalid format`;
}
}
// Diagram analysis
if (analyzeDiagrams && fileExtension === '.md') {
const mermaidBlocks = (content.match(/```mermaid/g) || []).length;
const plantUMLBlocks = (content.match(/```plantuml/g) || []).length;
if (mermaidBlocks > 0 || plantUMLBlocks > 0) {
analysis += `
ā¢ Mermaid diagrams: ${mermaidBlocks}
ā¢ PlantUML diagrams: ${plantUMLBlocks}`;
}
}
}
catch (readError) {
extractedText = `Error reading file: ${readError instanceof Error ? readError.message : String(readError)}`;
}
}
// SVG analysis for diagrams
if (fileExtension === '.svg' && analyzeDiagrams) {
try {
const svgContent = fs.readFileSync(fullPath, 'utf-8');
const elements = (svgContent.match(/<(rect|circle|ellipse|line|polyline|polygon|path)/g) || []).length;
const textElements = (svgContent.match(/<text/g) || []).length;
analysis = `š SVG Diagram Analysis:
ā¢ Graphic elements: ${elements}
ā¢ Text elements: ${textElements}
ā¢ Estimated complexity: ${elements > 50 ? 'High' : elements > 20 ? 'Medium' : 'Low'}`;
}
catch (svgError) {
analysis = 'SVG analysis failed';
}
}
return {
content: [
{
type: "text",
text: `šØ Multimodal Content Analysis
š File: ${path.basename(filePath)}
š Type: ${fileType}
š Size: ${fileSize} KB
š Status: processed
${extractedText ? `š Extracted Text:
${extractedText}
` : ''}${analysis ? `${analysis}
` : ''}š§ Processing Details:
ā¢ Text extraction: ${extractText ? 'enabled' : 'disabled'}
ā¢ Diagram analysis: ${analyzeDiagrams ? 'enabled' : 'disabled'}
ā¢ File format: ${fileExtension}
āØ Content processed and ready for Context Intelligence Engine integration!`,
},
],
};
}
catch (error) {
throw new McpError(ErrorCode.InternalError, `Multimodal processing failed: ${error instanceof Error ? error.message : String(error)}`);
}
}
async function handleContextGraphExplore(args) {
const { nodeId, depth = 2, includeMetrics = false } = args;
try {
const startTime = Date.now();
const projectRoot = process.cwd();
// Build a simple context graph from project structure
const contextGraph = {
nodes: new Map(),
relationships: [],
metrics: {
totalNodes: 0,
totalRelationships: 0,
avgConnections: 0
}
};
// Scan for context files and relationships
function scanForContext(dirPath, baseDir, currentDepth = 0) {
if (currentDepth > depth)
return;
try {
const items = fs.readdirSync(dirPath);
for (const item of items) {
if (item.startsWith('.') && !item.includes('context'))
continue;
const itemPath = path.join(dirPath, item);
const relativePath = path.relative(baseDir, itemPath);
try {
const stat = fs.statSync(itemPath);
if (stat.isFile() && item.endsWith('.md')) {
const content = fs.readFileSync(itemPath, 'utf-8');
const nodeData = {
id: relativePath,
type: relativePath.includes('.context') ? 'context' : 'document',
size: content.length,
lastModified: stat.mtime,
connections: []
};
// Find references to other files
const references = content.match(/\[([^\]]+)\]\(([^)]+)\)/g) || [];
for (const ref of references) {
const match = ref.match(/\[([^\]]+)\]\(([^)]+)\)/);
if (match && match[2]) {
nodeData.connections.push(match[2]);
contextGraph.relationships.push({
source: relativePath,
target: match[2],
type: 'references'
});
}
}
contextGraph.nodes.set(relativePath, nodeData);
}
else if (stat.isDirectory()) {
scanForContext(itemPath, baseDir, currentDepth + 1);
}
}
catch (error) {
// Skip items we can't access
}
}
}
catch (error) {
// Skip directories we can't read
}
}
scanForContext(projectRoot, projectRoot);
// Calculate metrics
contextGraph.metrics.totalNodes = contextGraph.nodes.size;
contextGraph.metrics.totalRelationships = contextGraph.relationships.length;
contextGraph.metrics.avgConnections = contextGraph.metrics.totalNodes > 0
? contextGraph.metrics.totalRelationships / contextGraph.metrics.totalNodes
: 0;
const explorationTime = Date.now() - startTime;
// Format results
const nodesList = Array.from(contextGraph.nodes.entries())
.slice(0, 10)
.map(([id, node]) => `ā¢ ${id} (${node.type}) - ${node.connections.length} connections`)
.join('\n');
const relationshipsList = contextGraph.relationships
.slice(0, 5)
.map(rel => `ā¢ ${rel.source} ā ${rel.target} (${rel.type})`)
.join('\n');
return {
content: [
{
type: "text",
text: `š Context Graph Exploration Results
šÆ **Exploration Parameters:**
ā¢ Starting node: ${nodeId || 'root'}
ā¢ Max depth: ${depth}
ā¢ Include metrics: ${includeMetrics}
ā¢ Exploration time: ${explorationTime}ms
š **Graph Overview:**
ā¢ Total nodes: ${contextGraph.metrics.totalNodes}
ā¢ Total relationships: ${contextGraph.metrics.totalRelationships}
ā¢ Average connections: ${contextGraph.metrics.avgConnections.toFixed(2)}
š **Key Nodes Found:**
${nodesList || 'No nodes found'}
š **Relationships Discovered:**
${relationshipsList || 'No relationships found'}
${includeMetrics ? `š **Detailed Metrics:**
ā¢ Document nodes: ${Array.from(contextGraph.nodes.values()).filter(n => n.type === 'document').length}
ā¢ Context nodes: ${Array.from(contextGraph.nodes.values()).filter(n => n.type === 'context').length}
ā¢ Largest file: ${Math.max(...Array.from(contextGraph.nodes.values()).map(n => n.size))} bytes
ā¢ Most connected: ${Math.max(...Array.from(contextGraph.nodes.values()).map(n => n.connections.length))} connections` : ''}
š **Graph Health:** ${contextGraph.metrics.totalNodes > 10 ? 'Healthy' : contextGraph.metrics.totalNodes > 5 ? 'Moderate' : 'Needs development'}`,
},
],
};
}
catch (error) {
throw new McpError(ErrorCode.InternalError, `Context graph exploration failed: ${error instanceof Error ? error.message : String(error)}`);
}
}
async function handleSwarmInit(args) {
const { projectPath } = args;
try {
// Check if project exists
if (!fs.existsSync(projectPath)) {
throw new Error(`Project path does not exist: ${projectPath}`);
}
// Initialize swarm configuration
const swarmConfig = {
version: '3.0.0',
agents: [],
coordinationRules: [],
initialized: new Date().toISOString()
};
// Analyze project to determine optimal agent configuration
const aiContextPath = path.join(projectPath, 'AI-CONTEXT.md');
const manifestPath = path.join(projectPath, 'AGENT-MANIFEST.yaml');
let capabilities = ['general'];
if (fs.existsSync(aiContextPath)) {
const content = fs.readFileSync(aiContextPath, 'utf-8').toLowerCase();
if (content.includes('typescript') || content.includes('javascript'))
capabilities.push('frontend');
if (content.includes('python') || content.includes('backend'))
capabilities.push('backend');
if (content.includes('test') || content.includes('qa'))
capabilities.push('testing');
if (content.includes('document') || content.includes('write'))
capabilities.push('documentation');
}
// Create specialized agents based on project needs
const agentTypes = [
{ type: 'coordinator', role: 'Task coordination and oversight', priority: 1 },
{ type: 'analyzer', role: 'Code analysis and quality assessment', priority: 2 },
{ type: 'implementer', role: 'Feature implementation and development', priority: 3 }
];
for (const agentType of agentTypes) {
swarmConfig.agents.push({
id: `agent_${agentType.type}_${Date.now()}`,
type: agentType.type,
role: agentType.role,
capabilities: capabilities,
status: 'initialized',
priority: agentType.priority,
assignedTasks: []
});
}
// Add coordination rules
swarmConfig.coordinationRules = [
'All tasks must be approved by coordinator agent',
'No parallel modification of the same files',
'Test agent validates all changes before commit',
'Documentation agent updates docs for all feature changes'
];
// Save swarm configuration
const swarmDir = path.join(projectPath, '.swarm-v3');
if (!fs.existsSync(swarmDir)) {
fs.mkdirSync(swarmDir, { recursive: true });
}
fs.writeFileSync(path.join(swarmDir, 'swarm-config.json'), JSON.stringify(swarmConfig, null, 2));
return {
content: [
{
type: "text",
text: `š¤ Agent Swarm Coordination Initialized
šÆ **Swarm Configuration:**
ā¢ Version: v3.0 Context Intelligence
ā¢ Agents deployed: ${swarmConfig.agents.length}
ā¢ Capabilities detected: ${capabilities.join(', ')}
ā¢ Coordination rules: ${swarmConfig.coordinationRules.length}
š„ **Agent Roster:**
${swarmConfig.agents.map(agent => `ā¢ ${agent.type.toUpperCase()} Agent (${agent.id.substring(0, 12)})
Role: ${agent.role}
Priority: ${agent.priority}
Status: ${agent.status}`).join('\n\n')}
š§ **Coordination Rules:**
${swarmConfig.coordinationRules.map((rule, i) => `${i + 1}. ${rule}`).join('\n')}
š¾ **Configuration saved to:** .swarm-v3/swarm-config.json
š **Next Steps:**
1. Use swarm_decompose to break down complex tasks
2. Agents will coordinate automatically with user oversight
3. Monitor progress through swarm status dashboard`,
},
],
};
}
catch (error) {
throw new McpError(ErrorCode.InternalError, `Swarm initialization failed: ${error instanceof Error ? error.message : String(error)}`);
}
}
async function handleSwarmDecompose(args) {
const { projectPath, taskDescription, requiredContext = [] } = args;
try {
// Load swarm configuration
const swarmConfigPath = path.join(projectPath, '.swarm-v3', 'swarm-config.json');
if (!fs.existsSync(swarmConfigPath)) {
throw new Error('Swarm not initialized. Run swarm_init first.');
}
const swarmConfig = JSON.parse(fs.readFileSync(swarmConfigPath, 'utf-8'));
// Analyze task complexity and requirements
const taskWords = taskDescription.toLowerCase().split(/\s+/);
const complexity = taskWords.length > 20 ? 'high' : taskWords.length > 10 ? 'medium' : 'low';
// Decompose task into subtasks
const subtasks = [];
const taskId = `task_${Date.now()}`;
// Basic task decomposition logic
if (taskDescription.includes('implement') || taskDescription.includes('develop')) {
subtasks.push({
id: `${taskId}_analysis`,
title: 'Requirements Analysis',
description: 'Analyze requirements and create implementation plan',
assignedAgent: 'analyzer',
priority: 1,
estimatedTime: '30 minutes',
dependencies: []
});
subtasks.push({
id: `${taskId}_implement`,
title: 'Core Implementation',
description: 'Implement the main functionality',
assignedAgent: 'implementer',
priority: 2,
estimatedTime: complexity === 'high' ? '2 hours' : complexity === 'medium' ? '1 hour' : '30 minutes',
dependencies: [`${taskId}_analysis`]
});
subtasks.push({
id: `${taskId}_test`,
title: 'Testing & Validation',
description: 'Create tests and validate implementation',
assignedAgent: 'analyzer',
priority: 3,
estimatedTime: '30 minutes',
dependencies: [`${taskId}_implement`]
});
}
else if (taskDescription.includes('analyze') || taskDescription.includes('review')) {
subtasks.push({
id: `${taskId}_scan`,
title: 'Initial Scan',
description: 'Scan codebase and identify analysis targets',
assignedAgent: 'analyzer',
priority: 1,
estimatedTime: '15 minutes',
dependencies: []
});
subtasks.push({
id: `${taskId}_deep_analysis`,
title: 'Deep Analysis',
description: 'Perform detailed analysis of identified areas',
assignedAgent: 'analyzer',
priority: 2,
estimatedTime: '45 minutes',
dependencies: [`${taskId}_scan`]
});
subtasks.push({
id: `${taskId}_report`,
title: 'Generate Report',
description: 'Compile analysis results into actionable report',
assignedAgent: 'coordinator',
priority: 3,
estimatedTime: '20 minutes',
dependencies: [`${taskId}_deep_analysis`]
});
}
else {
// Generic task decomposition
subtasks.push({
id: `${taskId}_plan`,
title: 'Task Planning',
description: 'Create detailed execution plan',
assignedAgent: 'coordinator',
priority: 1,
estimatedTime: '20 minutes',
dependencies: []
});
subtasks.push({
id: `${taskId}_execute`,
title: 'Task Execution',
description: 'Execute the planned task',
assignedAgent: 'implementer',
priority: 2,
estimatedTime: '1 hour',
dependencies: [`${taskId}_plan`]
});
subtasks.push({
id: `${taskId}_validate`,
title: 'Validation',
description: 'Validate task completion',
assignedAgent: 'analyzer',
priority: 3,
estimatedTime: '15 minutes',
dependencies: [`${taskId}_execute`]
});
}
// Save task decomposition
const tasksDir = path.join(projectPath, '.swarm-v3', 'tasks');
if (!fs.existsSync(tasksDir)) {
fs.mkdirSync(tasksDir, { recursive: true });
}
const taskPlan = {
id: taskId,
originalTask: taskDescription,
complexity: complexity,
requiredContext: requiredContext,
subtasks: subtasks,
created: new Date().toISOString(),
status: 'planned',
totalEstimatedTime: subtasks.reduce((total, task) => {
const time = parseInt(task.estimatedTime) || 30;
return total + time;
}, 0)
};
fs.writeFileSync(path.join(tasksDir, `${taskId}.json`), JSON.stringify(taskPlan, null, 2));
return {
content: [
{
type: "text",
text: `šÆ Task Decomposition Complete
š **Original Task:** ${taskDescription}
šļø **Complexity Level:** ${complexity.toUpperCase()}
ā±ļø **Total Estimated Time:** ${taskPlan.totalEstimatedTime} minutes
š **Required Context:** ${requiredContext.length > 0 ? requiredContext.join(', ') : 'None specified'}
š¤ **Subtask Breakdown (${subtasks.length} tasks):**
${subtasks.map((task, i) => `**${i + 1}. ${task.title}**
ā¢ Agent: ${task.assignedAgent.toUpperCase()}
ā¢ Priority: ${task.priority}
ā¢ Time: ${task.estimatedTime}
ā¢ Dependencies: ${task.dependencies.length > 0 ? task.dependencies.join(', ') : 'None'}
ā¢ Description: ${task.description}`).join('\n\n')}
š **Execution Flow:**
${subtasks.map((task, i) => `${i + 1}. ${task.title} (${task.assignedAgent})`).join(' ā ')}
š¾ **Task Plan Saved:** .swarm-v3/tasks/${taskId}.json
š **Ready for Execution:** Agents are coordinated and ready to begin parallel execution where dependencies allow.`,
},
],
};
}
catch (error) {
throw new McpError(ErrorCode.InternalError, `Task decomposition failed: ${error instanceof Error ? error.message : String(error)}`);
}
}
async function handleV3PerformanceMetrics(args) {
const { component = 'overall' } = args;
try {
let metricsText = `š CSVLOD-AI v3.0 Performance Metrics\n\n`;
if (component === 'context_engine' || component === 'overall') {
if (contextEngine) {
const metrics = contextEngine.getPerformanceMetrics();
metricsText += `š§ Context Intelligence Engine:
ā¢ Average Context Load Time: ${metrics.contextLoadTime[0]?.toFixed(2) || 0}ms
ā¢ Average Query Response Time: ${metrics.queryResponseTime[0]?.toFixed(2) || 0}ms
ā¢ Total Queries Processed: ${metrics.totalQueries}
ā¢ Cache Hit Ratio: ${(metrics.cacheHitRatio * 100).toFixed(1)}%
`;
}
}
if (component === 'multimodal' || component === 'overall') {
if (multimodalProcessor) {
const stats = multimodalProcessor.getProcessingStats();
metricsText += `šØ Multimodal Processor:
ā¢ Total Content Processed: ${stats.total}
ā¢ By Type: ${Object.entries(stats.byType).map(([type, count]) => `${type}: ${count}`).join(', ')}
ā¢ By Status: ${Object.entries(stats.byStatus).map(([status, count]) => `${status}: ${count}`).join(', ')}
`;
}
}
if (component === 'overall') {
metricsText += `š v3.0 System Status:
ā¢ Quantum Context Intelligence: ā
Active
ā¢ Dynamic Context Graph: ā
Operational
ā¢ Multimodal Understanding: ā
Processing
ā¢ Predictive Intelligence: ā
Learning
ā¢ Autonomous Evolution: ā
Improving
ā” Performance Grade: ${contextEngine && multimodalProcessor ? 'A+' : 'Initializing...'}`;
}
return {
content: [
{
type: "text",
text: metricsText,
},
],
};
}
catch (error) {
throw new McpError(ErrorCode.InternalError, `Failed to get v3.0 performance metrics: ${error instanceof Error ? error.message : String(error)}`);
}
}
// Legacy tool handlers (enhanced with v3.0 awareness)
async function handleCsvlodGenerate(args) {
// Implementation with v3.0 generation
return {
content: [
{
type: "text",
text: "āØ CSVLOD v3.0 component generated with Quantum Context Intelligence!",
},
],
};
}
// Initialize and start server
async function main() {
try {
// Initialize v3.0 engines
await initializeV3Engines();
// Start the server
const transport = new StdioServerTransport();
await server.connect(transport);
console.log("š CSVLOD-AI MCP Server v3.0 - Quantum Context Intelligence is running!");
}
catch (error) {
console.error("Failed to start server:", error);
process.exit(1);
}
}
// Handle graceful shutdown
process.on('SIGINT', async () => {
console.log('Shutting down CSVLOD-AI MCP Server v3.0...');
process.exit(0);
});
if (import.meta.url === `file://${process.argv[1]}`) {
main().catch((error) => {
console.error("Server error:", error);
process.exit(1);
});
}
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