/** * Claude-mem MCP Search Server - Thin HTTP Wrapper * * Refactored from 2,718 lines to ~600-800 lines * Delegates all business logic to Worker HTTP API at localhost:37777 * Maintains MCP protocol handling and tool schemas */ // CRITICAL: Redirect console.log to stderr BEFORE any imports // MCP uses stdio transport where stdout is reserved for JSON-RPC protocol messages. // Any logs to stdout break the protocol (Claude Desktop parses "[2025..." as JSON array). const _originalConsoleLog = console.log; console.log = (...args: any[]) => console.error(...args); import { Server } from '@modelcontextprotocol/sdk/server/index.js'; import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js'; import { CallToolRequestSchema, ListToolsRequestSchema, } from '@modelcontextprotocol/sdk/types.js'; import { logger } from '../utils/logger.js'; import { getWorkerPort, getWorkerHost } from '../shared/worker-utils.js'; /** * Worker HTTP API configuration */ const WORKER_PORT = getWorkerPort(); const WORKER_HOST = getWorkerHost(); const WORKER_BASE_URL = `http://${WORKER_HOST}:${WORKER_PORT}`; /** * Map tool names to Worker HTTP endpoints */ const TOOL_ENDPOINT_MAP: Record = { 'search': '/api/search', 'timeline': '/api/timeline', 'get_recent_context': '/api/context/recent', 'get_context_timeline': '/api/context/timeline', 'help': '/api/instructions' }; /** * Detailed parameter schemas for each tool */ const TOOL_SCHEMAS: Record = { search: { query: { type: 'string', description: 'Full-text search query' }, type: { type: 'string', description: 'Filter by type: tool_use, tool_result, prompt, summary' }, obs_type: { type: 'string', description: 'Observation type filter' }, concepts: { type: 'string', description: 'Comma-separated concept tags' }, files: { type: 'string', description: 'Comma-separated file paths' }, project: { type: 'string', description: 'Project name filter' }, dateStart: { type: ['string', 'number'], description: 'Start date (ISO or timestamp)' }, dateEnd: { type: ['string', 'number'], description: 'End date (ISO or timestamp)' }, limit: { type: 'number', description: 'Max results (default: 10)' }, offset: { type: 'number', description: 'Result offset for pagination' }, orderBy: { type: 'string', description: 'Sort order: created_at, relevance' } }, timeline: { query: { type: 'string', description: 'Search query to find anchor point' }, anchor: { type: 'number', description: 'Observation ID as timeline center' }, depth_before: { type: 'number', description: 'Observations before anchor (default: 5)' }, depth_after: { type: 'number', description: 'Observations after anchor (default: 5)' }, type: { type: 'string', description: 'Filter by type' }, concepts: { type: 'string', description: 'Comma-separated concept tags' }, files: { type: 'string', description: 'Comma-separated file paths' }, project: { type: 'string', description: 'Project name filter' } }, get_recent_context: { limit: { type: 'number', description: 'Max results (default: 20)' }, type: { type: 'string', description: 'Filter by type' }, concepts: { type: 'string', description: 'Comma-separated concept tags' }, files: { type: 'string', description: 'Comma-separated file paths' }, project: { type: 'string', description: 'Project name filter' }, dateStart: { type: ['string', 'number'], description: 'Start date' }, dateEnd: { type: ['string', 'number'], description: 'End date' } }, get_context_timeline: { anchor: { type: 'number', description: 'Observation ID (required)', required: true }, depth_before: { type: 'number', description: 'Observations before anchor' }, depth_after: { type: 'number', description: 'Observations after anchor' }, type: { type: 'string', description: 'Filter by type' }, concepts: { type: 'string', description: 'Comma-separated concept tags' }, files: { type: 'string', description: 'Comma-separated file paths' }, project: { type: 'string', description: 'Project name filter' } }, get_observations: { ids: { type: 'array', items: { type: 'number' }, description: 'Array of observation IDs (required)', required: true }, orderBy: { type: 'string', description: 'Sort order' }, limit: { type: 'number', description: 'Max results' }, project: { type: 'string', description: 'Project filter' } }, help: { operation: { type: 'string', description: 'Operation type: "observations", "timeline", "sessions", etc.' }, topic: { type: 'string', description: 'Specific topic for help' } }, get_observation: { id: { type: 'number', description: 'Observation ID (required)', required: true } }, get_session: { id: { type: 'number', description: 'Session ID (required)', required: true } }, get_prompt: { id: { type: 'number', description: 'Prompt ID (required)', required: true } } }; /** * Call Worker HTTP API endpoint */ async function callWorkerAPI( endpoint: string, params: Record ): Promise<{ content: Array<{ type: 'text'; text: string }>; isError?: boolean }> { logger.debug('SYSTEM', '→ Worker API', undefined, { endpoint, params }); try { const searchParams = new URLSearchParams(); // Convert params to query string for (const [key, value] of Object.entries(params)) { if (value !== undefined && value !== null) { searchParams.append(key, String(value)); } } const url = `${WORKER_BASE_URL}${endpoint}?${searchParams}`; const response = await fetch(url); if (!response.ok) { const errorText = await response.text(); throw new Error(`Worker API error (${response.status}): ${errorText}`); } const data = await response.json() as { content: Array<{ type: 'text'; text: string }>; isError?: boolean }; logger.debug('SYSTEM', '← Worker API success', undefined, { endpoint }); // Worker returns { content: [...] } format directly return data; } catch (error: any) { logger.error('SYSTEM', '← Worker API error', undefined, { endpoint, error: error.message }); return { content: [{ type: 'text' as const, text: `Error calling Worker API: ${error.message}` }], isError: true }; } } /** * Call Worker HTTP API with path parameter (GET) */ async function callWorkerAPIWithPath( endpoint: string, id: number ): Promise<{ content: Array<{ type: 'text'; text: string }>; isError?: boolean }> { logger.debug('HTTP', 'Worker API request (path)', undefined, { endpoint, id }); try { const url = `${WORKER_BASE_URL}${endpoint}/${id}`; const response = await fetch(url); if (!response.ok) { const errorText = await response.text(); throw new Error(`Worker API error (${response.status}): ${errorText}`); } const data = await response.json(); logger.debug('HTTP', 'Worker API success (path)', undefined, { endpoint, id }); // Wrap raw data in MCP format return { content: [{ type: 'text' as const, text: JSON.stringify(data, null, 2) }] }; } catch (error: any) { logger.error('HTTP', 'Worker API error (path)', undefined, { endpoint, id, error: error.message }); return { content: [{ type: 'text' as const, text: `Error calling Worker API: ${error.message}` }], isError: true }; } } /** * Call Worker HTTP API with POST body */ async function callWorkerAPIPost( endpoint: string, body: Record ): Promise<{ content: Array<{ type: 'text'; text: string }>; isError?: boolean }> { logger.debug('HTTP', 'Worker API request (POST)', undefined, { endpoint }); try { const url = `${WORKER_BASE_URL}${endpoint}`; const response = await fetch(url, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(body) }); if (!response.ok) { const errorText = await response.text(); throw new Error(`Worker API error (${response.status}): ${errorText}`); } const data = await response.json(); logger.debug('HTTP', 'Worker API success (POST)', undefined, { endpoint }); // Wrap raw data in MCP format return { content: [{ type: 'text' as const, text: JSON.stringify(data, null, 2) }] }; } catch (error: any) { logger.error('HTTP', 'Worker API error (POST)', undefined, { endpoint, error: error.message }); return { content: [{ type: 'text' as const, text: `Error calling Worker API: ${error.message}` }], isError: true }; } } /** * Verify Worker is accessible */ async function verifyWorkerConnection(): Promise { try { const response = await fetch(`${WORKER_BASE_URL}/api/health`); return response.ok; } catch (error) { return false; } } /** * Tool definitions with HTTP-based handlers * Minimal descriptions - use help() tool with operation parameter for detailed docs */ const tools = [ { name: 'get_schema', description: 'Get parameter schema for a tool. Call get_schema(tool_name) for details', inputSchema: { type: 'object', properties: { tool_name: { type: 'string' } }, required: ['tool_name'] }, handler: async (args: any) => { // Validate tool_name to prevent prototype pollution const toolName = args.tool_name; if (typeof toolName !== 'string' || !Object.hasOwn(TOOL_SCHEMAS, toolName)) { return { content: [{ type: 'text' as const, text: `Unknown tool: ${toolName}\n\nAvailable tools: ${Object.keys(TOOL_SCHEMAS).join(', ')}` }], isError: true }; } const schema = TOOL_SCHEMAS[toolName]; return { content: [{ type: 'text' as const, text: `# ${toolName} Parameters\n\n${JSON.stringify(schema, null, 2)}` }] }; } }, { name: 'search', description: 'Search memory. All parameters optional - call get_schema("search") for details', inputSchema: { type: 'object', properties: {}, additionalProperties: true }, handler: async (args: any) => { const endpoint = TOOL_ENDPOINT_MAP['search']; return await callWorkerAPI(endpoint, args); } }, { name: 'timeline', description: 'Timeline context. All parameters optional - call get_schema("timeline") for details', inputSchema: { type: 'object', properties: {}, additionalProperties: true }, handler: async (args: any) => { const endpoint = TOOL_ENDPOINT_MAP['timeline']; return await callWorkerAPI(endpoint, args); } }, { name: 'get_recent_context', description: 'Recent context. All parameters optional - call get_schema("get_recent_context") for details', inputSchema: { type: 'object', properties: {}, additionalProperties: true }, handler: async (args: any) => { const endpoint = TOOL_ENDPOINT_MAP['get_recent_context']; return await callWorkerAPI(endpoint, args); } }, { name: 'get_context_timeline', description: 'Timeline around observation ID', inputSchema: { type: 'object', properties: { anchor: { type: 'number', description: 'Observation ID (required). Optional params: get_schema("get_context_timeline")' } }, required: ['anchor'], additionalProperties: true }, handler: async (args: any) => { const endpoint = TOOL_ENDPOINT_MAP['get_context_timeline']; return await callWorkerAPI(endpoint, args); } }, { name: 'help', description: 'Get detailed docs. All parameters optional - call get_schema("help") for details', inputSchema: { type: 'object', properties: {}, additionalProperties: true }, handler: async (args: any) => { const endpoint = TOOL_ENDPOINT_MAP['help']; return await callWorkerAPI(endpoint, args); } }, { name: 'get_observation', description: 'Fetch observation by ID', inputSchema: { type: 'object', properties: { id: { type: 'number', description: 'Observation ID (required)' } }, required: ['id'] }, handler: async (args: any) => { return await callWorkerAPIWithPath('/api/observation', args.id); } }, { name: 'get_observations', description: 'Batch fetch observations', inputSchema: { type: 'object', properties: { ids: { type: 'array', items: { type: 'number' }, description: 'Array of observation IDs (required). Optional params: get_schema("get_observations")' } }, required: ['ids'], additionalProperties: true }, handler: async (args: any) => { return await callWorkerAPIPost('/api/observations/batch', args); } }, { name: 'get_session', description: 'Fetch session by ID', inputSchema: { type: 'object', properties: { id: { type: 'number', description: 'Session ID (required)' } }, required: ['id'] }, handler: async (args: any) => { return await callWorkerAPIWithPath('/api/session', args.id); } }, { name: 'get_prompt', description: 'Fetch prompt by ID', inputSchema: { type: 'object', properties: { id: { type: 'number', description: 'Prompt ID (required)' } }, required: ['id'] }, handler: async (args: any) => { return await callWorkerAPIWithPath('/api/prompt', args.id); } } ]; // Create the MCP server const server = new Server( { name: 'mem-search-server', version: '1.0.0', }, { capabilities: { tools: {}, }, } ); // Register tools/list handler server.setRequestHandler(ListToolsRequestSchema, async () => { return { tools: tools.map(tool => ({ name: tool.name, description: tool.description, inputSchema: tool.inputSchema })) }; }); // Register tools/call handler server.setRequestHandler(CallToolRequestSchema, async (request) => { const tool = tools.find(t => t.name === request.params.name); if (!tool) { throw new Error(`Unknown tool: ${request.params.name}`); } try { return await tool.handler(request.params.arguments || {}); } catch (error: any) { return { content: [{ type: 'text' as const, text: `Tool execution failed: ${error.message}` }], isError: true }; } }); // Cleanup function async function cleanup() { logger.info('SYSTEM', 'MCP server shutting down'); process.exit(0); } // Register cleanup handlers for graceful shutdown process.on('SIGTERM', cleanup); process.on('SIGINT', cleanup); // Start the server async function main() { // Start the MCP server const transport = new StdioServerTransport(); await server.connect(transport); logger.info('SYSTEM', 'Claude-mem search server started'); // Check Worker availability in background setTimeout(async () => { const workerAvailable = await verifyWorkerConnection(); if (!workerAvailable) { logger.warn('SYSTEM', 'Worker not available', undefined, { workerUrl: WORKER_BASE_URL }); logger.warn('SYSTEM', 'Tools will fail until Worker is started'); logger.warn('SYSTEM', 'Start Worker with: npm run worker:restart'); } else { logger.info('SYSTEM', 'Worker available', undefined, { workerUrl: WORKER_BASE_URL }); } }, 0); } main().catch((error) => { logger.error('SYSTEM', 'Fatal error', undefined, error); process.exit(1); });