devcontext/dist/mcp-server.bundle.js

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness.

#!/usr/bin/env node
"use strict";
var ae=(e,t)=>()=>(e&&(t=e(e=0)),t);import rn from"dotenv";var H,te,Qe,Jr,U,Ke,Qr,B=ae(()=>{rn.config();H=process.env.TURSO_DATABASE_URL,te=process.env.TURSO_AUTH_TOKEN,Qe=process.env.LOG_LEVEL||"INFO",Jr=process.env.DB_LOGGING_ENABLED==="true",U=parseInt(process.env.DEFAULT_TOKEN_BUDGET||"4000",10),Ke=parseFloat(process.env.CONTEXT_DECAY_RATE||"0.95"),Qr=parseInt(process.env.MAX_CACHE_SIZE||"1000",10)});function Ce(){return process.env.MCP_MODE==="true"||process.env.MCP_MODE===!0||global.MCP_MODE===!0}var ve,Ze,c,M=ae(()=>{B();ve={DEBUG:0,INFO:1,WARN:2,ERROR:3};Ze=Ce(),c=(e,t,n=null)=>{if(Ce()||Ze||process.env.MCP_MODE==="true")return;let r=e.toUpperCase();if(!ve.hasOwnProperty(r)||ve[r]<ve[Qe])return;let s=`[${new Date().toISOString()}] [${r}]: ${t}`;if(n){let a=typeof n=="string"?n:JSON.stringify(n);s+=` - ${a}`}Ce()||Ze||process.env.MCP_MODE==="true"||(r==="DEBUG"||r==="INFO"?console.log(s):console.error(s))}});import{createClient as on}from"@libsql/client";async function sn(){let e=process.env.MCP_MODE==="true";try{let t=!1;try{let r=await C(`
        SELECT name FROM sqlite_master
        WHERE type='table' AND name='project_patterns'
      `);t=r&&r.rows&&r.rows.length>0}catch(r){e||c("warn",`Error checking table existence: ${r.message}`);return}if(!t){e||c("info","project_patterns table doesn't exist yet, skipping migration");return}let n=!1;try{let r=await C(`
        PRAGMA table_info(project_patterns)
      `);if(r&&r.rows){for(let o of r.rows)if(o&&o.name==="language"){n=!0;break}}}catch(r){e||c("warn",`Error checking column existence: ${r.message}`);return}if(n){e||c("debug","Language column already exists in project_patterns table");return}e||c("info","Adding language column to project_patterns table");try{await C("ALTER TABLE project_patterns ADD COLUMN language TEXT"),e||c("info","Successfully added language column to project_patterns table")}catch(r){if(r.message&&r.message.includes("duplicate column"))e||c("info","Language column already exists, skipping");else{e||c("warn",`Error adding language column: ${r.message}`);return}}try{await C("CREATE INDEX IF NOT EXISTS idx_project_patterns_language ON project_patterns(language)"),e||c("info","Created index for language column")}catch(r){e||c("warn",`Error creating index: ${r.message}`)}}catch(t){e||c("warn",`Migration warning: ${t.message}`)}}var J,Q,xe,C,be,N=ae(()=>{B();M();J=null,Q=()=>{let e=process.env.MCP_MODE==="true";if(J)return J;if(!H){let t="TURSO_DATABASE_URL is not defined in environment variables";throw e?new Error:new Error(t)}if(!te){let t="TURSO_AUTH_TOKEN is not defined in environment variables";throw e?new Error:new Error(t)}return J=on({url:H,authToken:te}),e||c("info","Database client created",{url:H.substring(0,20)+"..."}),J},xe=async(e=null)=>{let t=process.env.MCP_MODE==="true";try{let r=0;for(;r<3;)try{return await(e||Q()).execute("SELECT 1"),!0}catch(o){if(r++,r>=3){if(t)return!1;throw new Error(`Database connection test failed: ${o.message}`)}let s=Math.pow(2,r)*100;await new Promise(a=>setTimeout(a,s)),e||(J=null)}return!0}catch(n){if(t)return!1;throw new Error(`Database connection test failed: ${n.message}`)}},C=async(e,t=[])=>{let n=process.env.MCP_MODE==="true";try{n||c("debug","DB - EXECUTING QUERY",{sql:e.substring(0,150)+(e.length>150?"...":""),args:t.length>0?JSON.stringify(t.slice(0,3))+(t.length>3?"...":""):"[]"});let r=3,o=0,s;for(;o<r;)try{s=await Q().execute({sql:e,args:t});break}catch(a){o++;let l=a.message?.includes("connection")||a.message?.includes("timeout")||a.message?.includes("closed");if(o>=r||!l)throw a;let i=Math.pow(2,o)*100;await new Promise(u=>setTimeout(u,i)),J=null}return n||c("debug","DB - QUERY RESULT",{rowCount:s.rows?.length||0,rowsPreview:s.rows?.length>0?JSON.stringify(s.rows[0]).substring(0,100)+"...":"No rows",affectedRows:s.rowsAffected||0}),s}catch(r){throw n||c("error","DB - QUERY ERROR",{message:r.message,query:e.substring(0,150),args:t.length>0?JSON.stringify(t.slice(0,3)):"[]"}),n?new Error:new Error(`Query execution failed: ${r.message}
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        entity_id TEXT PRIMARY KEY, -- UUID
        file_path TEXT, -- Full path for file entities, or path to file containing the entity
        entity_type TEXT NOT NULL, -- e.g., 'file', 'function', 'class', 'method', 'variable', 'interface', 'comment_block'
        name TEXT, -- Name of the function, class, variable etc.
        start_line INTEGER,
        end_line INTEGER,
        content_hash TEXT, -- Hash of the raw content to detect changes
        raw_content TEXT,
        summary TEXT, -- AI or rule-based summary
        language TEXT, -- Programming language
        parent_entity_id TEXT, -- For hierarchical structure (e.g., function inside a class, class inside a file)
        last_modified_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
        last_accessed_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, -- For recency
        importance_score REAL DEFAULT 1.0, -- For prioritization, can decay
        custom_metadata TEXT, -- JSON blob for other properties
        FOREIGN KEY (parent_entity_id) REFERENCES code_entities(entity_id) ON DELETE CASCADE
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        keyword_id INTEGER PRIMARY KEY AUTOINCREMENT,
        entity_id TEXT NOT NULL,
        keyword TEXT NOT NULL,
        term_frequency REAL,
        weight REAL DEFAULT 1.0,
        keyword_type TEXT, -- e.g., 'identifier', 'comment', 'string_literal', 'n_gram_2', 'n_gram_3'
        FOREIGN KEY (entity_id) REFERENCES code_entities(entity_id) ON DELETE CASCADE
      )`,"CREATE INDEX IF NOT EXISTS idx_entity_keywords_keyword ON entity_keywords(keyword)","CREATE INDEX IF NOT EXISTS idx_entity_keywords_entity ON entity_keywords(entity_id)","CREATE UNIQUE INDEX IF NOT EXISTS idx_entity_keywords_entity_keyword_type ON entity_keywords(entity_id, keyword, keyword_type)",`CREATE VIRTUAL TABLE IF NOT EXISTS code_entities_fts USING fts5(
        entity_id UNINDEXED,
        name,
        searchable_content
      )`,`CREATE TRIGGER IF NOT EXISTS code_entities_ai AFTER INSERT ON code_entities BEGIN
        INSERT INTO code_entities_fts (entity_id, name, searchable_content)
        VALUES (new.entity_id, new.name, new.raw_content || ' ' || COALESCE(new.summary, ''));
      END`,`CREATE TRIGGER IF NOT EXISTS code_entities_ad AFTER DELETE ON code_entities BEGIN
        DELETE FROM code_entities_fts WHERE entity_id = old.entity_id;
      END`,`CREATE TRIGGER IF NOT EXISTS code_entities_au AFTER UPDATE ON code_entities BEGIN
        UPDATE code_entities_fts SET
          name = new.name,
          searchable_content = new.raw_content || ' ' || COALESCE(new.summary, '')
        WHERE entity_id = old.entity_id;
      END`,`CREATE TABLE IF NOT EXISTS code_relationships (
        relationship_id TEXT PRIMARY KEY, -- UUID
        source_entity_id TEXT NOT NULL,
        target_entity_id TEXT NOT NULL,
        relationship_type TEXT NOT NULL,
        weight REAL DEFAULT 1.0,
        metadata TEXT, -- JSON blob
        created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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        FOREIGN KEY (target_entity_id) REFERENCES code_entities(entity_id) ON DELETE CASCADE
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        conversation_id TEXT NOT NULL,
        role TEXT NOT NULL, -- 'user', 'assistant', 'system'
        content TEXT NOT NULL,
        timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
        related_context_entity_ids TEXT, -- JSON array of entity_ids
        summary TEXT,
        user_intent TEXT,
        topic_segment_id TEXT,        -- Reference to topic segment
        semantic_markers TEXT,        -- JSON array of semantic markers found in message
        sentiment_indicators TEXT      -- JSON structure for sentiment analysis
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        topic_id TEXT PRIMARY KEY, -- UUID
        conversation_id TEXT NOT NULL,
        topic_name TEXT NOT NULL,
        description TEXT,
        start_message_id TEXT NOT NULL,
        end_message_id TEXT,    -- NULL if ongoing
        start_timestamp TIMESTAMP NOT NULL,
        end_timestamp TIMESTAMP,  -- NULL if ongoing
        primary_entities TEXT,    -- JSON array of entity_ids
        keywords TEXT,            -- JSON array of keywords
        summary TEXT,
        parent_topic_id TEXT,     -- For hierarchical topic structure
        FOREIGN KEY (start_message_id) REFERENCES conversation_history(message_id) ON DELETE CASCADE,
        FOREIGN KEY (parent_topic_id) REFERENCES conversation_topics(topic_id) ON DELETE SET NULL
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        purpose_id TEXT PRIMARY KEY, -- UUID
        conversation_id TEXT NOT NULL,
        purpose_type TEXT NOT NULL,  -- 'debugging', 'feature_planning', 'code_review', etc.
        confidence REAL DEFAULT 0.0, -- Confidence score (0.0 to 1.0)
        start_timestamp TEXT NOT NULL, -- ISO timestamp
        end_timestamp TEXT, -- ISO timestamp, NULL if still active
        metadata TEXT -- Additional metadata in JSON format
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        event_id TEXT PRIMARY KEY, -- UUID
        event_type TEXT NOT NULL,
        timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
        data TEXT, -- JSON blob
        associated_entity_ids TEXT, -- JSON array of code_entity_ids
        conversation_id TEXT -- If related to a specific conversation
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        snapshot_id TEXT PRIMARY KEY, -- UUID
        name TEXT,
        description TEXT,
        created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
        timeline_event_id TEXT,
        snapshot_data TEXT NOT NULL, -- JSON blob
        FOREIGN KEY (timeline_event_id) REFERENCES timeline_events(event_id) ON DELETE SET NULL
      )`,"CREATE INDEX IF NOT EXISTS idx_context_snapshots_name ON context_snapshots(name)",`CREATE TABLE IF NOT EXISTS focus_areas (
        focus_id TEXT PRIMARY KEY, -- UUID
        focus_type TEXT NOT NULL,
        identifier TEXT,
        description TEXT,
        related_entity_ids TEXT, -- JSON array of code_entity_ids
        keywords TEXT, -- JSON array of defining keywords
        last_activated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
        is_active BOOLEAN DEFAULT FALSE
      )`,"CREATE INDEX IF NOT EXISTS idx_focus_areas_active ON focus_areas(is_active, last_activated_at DESC)",`CREATE TABLE IF NOT EXISTS project_patterns (
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        pattern_type TEXT NOT NULL,
        name TEXT,
        description TEXT,
        representation TEXT NOT NULL, -- JSON or textual
        detection_rules TEXT,
        frequency INTEGER DEFAULT 0,
        last_detected_at TIMESTAMP,
        utility_score REAL DEFAULT 0.0,
        confidence_score REAL DEFAULT 0.5, -- confidence in pattern validity
        reinforcement_count INTEGER DEFAULT 1, -- times pattern was reinforced
        is_global BOOLEAN DEFAULT FALSE, -- indicates if promoted to global status
        session_origin_id TEXT, -- originating session if any
        language TEXT, -- NEW COLUMN: programming language the pattern applies to
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        updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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        observation_id TEXT PRIMARY KEY, -- UUID
        pattern_id TEXT NOT NULL,
        conversation_id TEXT,
        context_entities TEXT, -- JSON array of entity_ids
        observation_type TEXT NOT NULL, -- 'usage', 'confirmation', 'rejection'
        observation_data TEXT, -- JSON with details
        timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
        FOREIGN KEY (pattern_id) REFERENCES project_patterns(pattern_id) ON DELETE CASCADE
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        log_id INTEGER PRIMARY KEY AUTOINCREMENT,
        timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
        level TEXT NOT NULL, -- 'INFO', 'WARN', 'ERROR', 'DEBUG'
        message TEXT NOT NULL,
        data TEXT -- Optional JSON blob
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        item_id TEXT PRIMARY KEY, -- UUID
        item_type TEXT NOT NULL, -- Type of knowledge item (concept, code_pattern, domain_term, etc.)
        name TEXT NOT NULL, -- Display name of the knowledge item
        content TEXT, -- JSON or raw content depending on type
        metadata TEXT, -- Additional metadata as JSON
        confidence_score REAL DEFAULT 0.5, -- Confidence score
        created_at TEXT NOT NULL, -- Creation timestamp
        updated_at TEXT NOT NULL, -- Last update timestamp
        conversation_id TEXT -- Source conversation ID
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        state_id TEXT PRIMARY KEY, -- UUID
        milestone_id TEXT,
        conversation_id TEXT,
        topic_id TEXT,
        state_type TEXT NOT NULL, -- Type of context state
        state_data TEXT, -- JSON data representing the state
        created_at TEXT NOT NULL, -- Creation timestamp
        metadata TEXT -- Additional metadata as JSON
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