@cabbages-pre/memory-pickle-mcp-pre/build/server/ServerConfig.js

Simplified MCP server for AI agent project management - 8 essential tools for session memory and task tracking

import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { getVersion } from '../utils/version.js';
/**
 * MCP Server configuration
 */
export const SERVER_CONFIG = {
    name: "memory-pickle-mcp",
    version: getVersion(),
};
/**
 * Server capabilities configuration
 */
export const SERVER_CAPABILITIES = {
    capabilities: {
        resources: {},
        tools: {},
    },
};
/**
 * Creates and configures an MCP server instance with predefined settings and capabilities.
 *
 * @returns A new {@link Server} initialized with the server's configuration and capabilities.
 */
export function createServer() {
    return new Server(SERVER_CONFIG, SERVER_CAPABILITIES);
}
/**
 * Creates and returns a transport for server communication over standard input and output streams.
 *
 * @returns A {@link StdioServerTransport} instance for stdio-based server communication.
 */
export function createTransport() {
    return new StdioServerTransport();
}
/**
 * Connects the server to the provided stdio transport and starts processing MCP requests.
 *
 * @remark
 * Does not log startup messages to prevent interference with stdio-based MCP communication.
 */
export async function startServer(server, transport) {
    await server.connect(transport);
    // Server is now running and ready to handle MCP requests
}