Alex Newman
4321add69c
- Updated all documentation references from search-server to mcp-server - Removed legacy search-server.cjs file - Updated debug log messages to use [mcp-server] prefix - Updated build output references in docs 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
446 lines
25 KiB
TypeScript
446 lines
25 KiB
TypeScript
/**
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* Claude-mem MCP Search Server - Thin HTTP Wrapper
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*
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* Refactored from 2,718 lines to ~600-800 lines
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* Delegates all business logic to Worker HTTP API at localhost:37777
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* Maintains MCP protocol handling and tool schemas
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*/
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import { Server } from '@modelcontextprotocol/sdk/server/index.js';
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import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
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import {
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CallToolRequestSchema,
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ListToolsRequestSchema,
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} from '@modelcontextprotocol/sdk/types.js';
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import { z } from 'zod';
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import { zodToJsonSchema } from 'zod-to-json-schema';
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import { silentDebug } from '../utils/silent-debug.js';
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/**
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* Worker HTTP API configuration
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*/
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const WORKER_PORT = parseInt(process.env.CLAUDE_MEM_WORKER_PORT || '37777', 10);
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const WORKER_BASE_URL = `http://localhost:${WORKER_PORT}`;
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/**
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* Map tool names to Worker HTTP endpoints
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*/
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const TOOL_ENDPOINT_MAP: Record<string, string> = {
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'search': '/api/search',
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'timeline': '/api/timeline',
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'decisions': '/api/decisions',
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'changes': '/api/changes',
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'how_it_works': '/api/how-it-works',
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'search_observations': '/api/search/observations',
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'search_sessions': '/api/search/sessions',
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'search_user_prompts': '/api/search/prompts',
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'find_by_concept': '/api/search/by-concept',
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'find_by_file': '/api/search/by-file',
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'find_by_type': '/api/search/by-type',
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'get_recent_context': '/api/context/recent',
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'get_context_timeline': '/api/context/timeline',
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'get_timeline_by_query': '/api/timeline/by-query'
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};
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/**
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* Call Worker HTTP API endpoint
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*/
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async function callWorkerAPI(
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endpoint: string,
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params: Record<string, any>
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): Promise<{ content: Array<{ type: 'text'; text: string }>; isError?: boolean }> {
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silentDebug('[mcp-server] → Worker API', { endpoint, params });
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try {
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const searchParams = new URLSearchParams();
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// Convert params to query string
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for (const [key, value] of Object.entries(params)) {
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if (value !== undefined && value !== null) {
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searchParams.append(key, String(value));
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}
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}
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const url = `${WORKER_BASE_URL}${endpoint}?${searchParams}`;
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const response = await fetch(url);
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if (!response.ok) {
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const errorText = await response.text();
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throw new Error(`Worker API error (${response.status}): ${errorText}`);
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}
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const data = await response.json() as { content: Array<{ type: 'text'; text: string }>; isError?: boolean };
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silentDebug('[mcp-server] ← Worker API success', { endpoint });
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// Worker returns { content: [...] } format directly
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return data;
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} catch (error: any) {
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silentDebug('[mcp-server] ← Worker API error', { endpoint, error: error.message });
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return {
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content: [{
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type: 'text' as const,
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text: `Error calling Worker API: ${error.message}`
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}],
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isError: true
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};
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}
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}
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/**
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* Verify Worker is accessible
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*/
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async function verifyWorkerConnection(): Promise<boolean> {
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try {
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const response = await fetch(`${WORKER_BASE_URL}/api/health`);
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return response.ok;
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} catch (error) {
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return false;
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}
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}
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/**
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* Tool definitions with HTTP-based handlers
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*/
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const tools = [
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{
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name: 'search',
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description: 'Unified search across all memory types (observations, sessions, and user prompts) using vector-first semantic search (ChromaDB). Returns combined results from all document types. IMPORTANT: Always use index format first (default) to get an overview with minimal token usage, then use format: "full" only for specific items of interest.',
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inputSchema: z.object({
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query: z.string().optional().describe('Natural language search query for semantic ranking via ChromaDB vector search. Optional - omit for date-filtered queries only (Chroma cannot filter by date, requires direct SQLite).'),
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format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED for initial search), "full" for complete details (use only after reviewing index results)'),
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type: z.enum(['observations', 'sessions', 'prompts']).optional().describe('Filter by document type (observations, sessions, or prompts). Omit to search all types.'),
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obs_type: z.string().optional().describe('Filter observations by type (single value or comma-separated list: decision,bugfix,feature,refactor,discovery,change). Only applies when type="observations"'),
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concepts: z.string().optional().describe('Filter by concept tags (single value or comma-separated list). Only applies when type="observations"'),
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files: z.string().optional().describe('Filter by file paths (single value or comma-separated list for partial match). Only applies when type="observations"'),
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project: z.string().optional().describe('Filter by project name'),
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dateStart: z.union([z.string(), z.number()]).optional().describe('Start date for filtering (ISO string or epoch timestamp)'),
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dateEnd: z.union([z.string(), z.number()]).optional().describe('End date for filtering (ISO string or epoch timestamp)'),
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limit: z.number().min(1).max(100).default(20).describe('Maximum number of results'),
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offset: z.number().min(0).default(0).describe('Number of results to skip'),
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orderBy: z.enum(['relevance', 'date_desc', 'date_asc']).default('date_desc').describe('Sort order')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['search'];
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return await callWorkerAPI(endpoint, args);
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}
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},
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{
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name: 'timeline',
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description: 'Fetch timeline of observations around a specific point in time. Supports two modes: anchor-based (fetch observations before/after a specific observation ID) and query-based (semantic search for anchor point). IMPORTANT: Use anchor_id when you know the specific observation, or query to find an anchor point first.',
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inputSchema: z.object({
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query: z.string().optional().describe('Natural language query to find anchor observation (query-based mode). Mutually exclusive with anchor_id.'),
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anchor_id: z.number().optional().describe('Observation ID to use as anchor (anchor-based mode). Mutually exclusive with query.'),
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before: z.number().min(0).max(100).default(10).describe('Number of observations to fetch before anchor'),
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after: z.number().min(0).max(100).default(10).describe('Number of observations to fetch after anchor'),
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format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED), "full" for complete details'),
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obs_type: z.string().optional().describe('Filter observations by type (single value or comma-separated list: decision,bugfix,feature,refactor,discovery,change)'),
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concepts: z.string().optional().describe('Filter by concept tags (single value or comma-separated list)'),
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files: z.string().optional().describe('Filter by file paths (single value or comma-separated list for partial match)'),
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project: z.string().optional().describe('Filter by project name')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['timeline'];
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return await callWorkerAPI(endpoint, args);
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}
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},
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{
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name: 'decisions',
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description: 'Semantic shortcut for finding architectural, design, and implementation decisions. Optimized for decision-type observations with relevant keyword boosting.',
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inputSchema: z.object({
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query: z.string().describe('Natural language query for finding decisions'),
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format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED), "full" for complete details'),
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limit: z.number().min(1).max(100).default(20).describe('Maximum number of results'),
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dateStart: z.union([z.string(), z.number()]).optional().describe('Start date for filtering (ISO string or epoch timestamp)'),
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dateEnd: z.union([z.string(), z.number()]).optional().describe('End date for filtering (ISO string or epoch timestamp)')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['decisions'];
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return await callWorkerAPI(endpoint, args);
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}
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},
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{
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name: 'changes',
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description: 'Semantic shortcut for finding code changes, refactorings, and modifications. Optimized for change-type observations with relevant keyword boosting.',
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inputSchema: z.object({
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query: z.string().describe('Natural language query for finding changes'),
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format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED), "full" for complete details'),
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limit: z.number().min(1).max(100).default(20).describe('Maximum number of results'),
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dateStart: z.union([z.string(), z.number()]).optional().describe('Start date for filtering (ISO string or epoch timestamp)'),
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dateEnd: z.union([z.string(), z.number()]).optional().describe('End date for filtering (ISO string or epoch timestamp)')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['changes'];
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return await callWorkerAPI(endpoint, args);
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}
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},
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{
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name: 'how_it_works',
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description: 'Semantic shortcut for understanding system architecture, design patterns, and implementation details. Optimized for discovery-type observations with architecture/design keyword boosting.',
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inputSchema: z.object({
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query: z.string().describe('Natural language query for understanding how something works'),
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format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED), "full" for complete details'),
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limit: z.number().min(1).max(100).default(20).describe('Maximum number of results'),
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dateStart: z.union([z.string(), z.number()]).optional().describe('Start date for filtering (ISO string or epoch timestamp)'),
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dateEnd: z.union([z.string(), z.number()]).optional().describe('End date for filtering (ISO string or epoch timestamp)')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['how_it_works'];
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return await callWorkerAPI(endpoint, args);
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}
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},
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{
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name: 'search_observations',
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description: '[DEPRECATED - Use "search" with type="observations" instead] Search observations (facts/narratives) using FTS5 full-text search. Supports filtering by type, concepts, files, and date range.',
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inputSchema: z.object({
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query: z.string().optional().describe('Full-text search query (FTS5)'),
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format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED), "full" for complete details'),
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type: z.string().optional().describe('Filter by observation type (single value or comma-separated list: decision,bugfix,feature,refactor,discovery,change)'),
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concepts: z.string().optional().describe('Filter by concept tags (single value or comma-separated list)'),
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files: z.string().optional().describe('Filter by file paths (single value or comma-separated list for partial match)'),
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project: z.string().optional().describe('Filter by project name'),
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dateStart: z.union([z.string(), z.number()]).optional().describe('Start date for filtering (ISO string or epoch timestamp)'),
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dateEnd: z.union([z.string(), z.number()]).optional().describe('End date for filtering (ISO string or epoch timestamp)'),
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limit: z.number().min(1).max(100).default(20).describe('Maximum number of results'),
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offset: z.number().min(0).default(0).describe('Number of results to skip'),
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orderBy: z.enum(['relevance', 'date_desc', 'date_asc']).default('relevance').describe('Sort order (relevance only when query provided)')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['search_observations'];
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return await callWorkerAPI(endpoint, args);
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}
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},
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{
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name: 'search_sessions',
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description: '[DEPRECATED - Use "search" with type="sessions" instead] Search session summaries using FTS5 full-text search. Returns both request_summary and learned_summary fields.',
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inputSchema: z.object({
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query: z.string().optional().describe('Full-text search query (FTS5)'),
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format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED), "full" for complete details'),
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project: z.string().optional().describe('Filter by project name'),
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dateStart: z.union([z.string(), z.number()]).optional().describe('Start date for filtering (ISO string or epoch timestamp)'),
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dateEnd: z.union([z.string(), z.number()]).optional().describe('End date for filtering (ISO string or epoch timestamp)'),
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limit: z.number().min(1).max(100).default(20).describe('Maximum number of results'),
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offset: z.number().min(0).default(0).describe('Number of results to skip'),
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orderBy: z.enum(['relevance', 'date_desc', 'date_asc']).default('relevance').describe('Sort order (relevance only when query provided)')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['search_sessions'];
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return await callWorkerAPI(endpoint, args);
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}
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},
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{
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name: 'search_user_prompts',
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description: '[DEPRECATED - Use "search" with type="prompts" instead] Search user prompts using FTS5 full-text search. Searches prompt text only.',
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inputSchema: z.object({
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query: z.string().optional().describe('Full-text search query (FTS5)'),
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format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED), "full" for complete details'),
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project: z.string().optional().describe('Filter by project name'),
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dateStart: z.union([z.string(), z.number()]).optional().describe('Start date for filtering (ISO string or epoch timestamp)'),
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dateEnd: z.union([z.string(), z.number()]).optional().describe('End date for filtering (ISO string or epoch timestamp)'),
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limit: z.number().min(1).max(100).default(20).describe('Maximum number of results'),
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offset: z.number().min(0).default(0).describe('Number of results to skip'),
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orderBy: z.enum(['relevance', 'date_desc', 'date_asc']).default('relevance').describe('Sort order (relevance only when query provided)')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['search_user_prompts'];
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return await callWorkerAPI(endpoint, args);
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}
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},
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{
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name: 'find_by_concept',
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description: 'Find observations tagged with specific concepts. Returns observations that match any of the provided concept tags.',
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inputSchema: z.object({
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concepts: z.string().describe('Concept tag(s) to filter by (single value or comma-separated list)'),
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format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED), "full" for complete details'),
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type: z.string().optional().describe('Filter by observation type (single value or comma-separated list: decision,bugfix,feature,refactor,discovery,change)'),
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files: z.string().optional().describe('Filter by file paths (single value or comma-separated list for partial match)'),
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project: z.string().optional().describe('Filter by project name'),
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dateStart: z.union([z.string(), z.number()]).optional().describe('Start date for filtering (ISO string or epoch timestamp)'),
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dateEnd: z.union([z.string(), z.number()]).optional().describe('End date for filtering (ISO string or epoch timestamp)'),
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limit: z.number().min(1).max(100).default(20).describe('Maximum number of results'),
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offset: z.number().min(0).default(0).describe('Number of results to skip'),
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orderBy: z.enum(['date_desc', 'date_asc']).default('date_desc').describe('Sort order')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['find_by_concept'];
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return await callWorkerAPI(endpoint, args);
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}
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},
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{
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name: 'find_by_file',
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description: 'Find observations related to specific file paths. Uses partial matching - searches for file paths containing the provided string.',
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inputSchema: z.object({
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files: z.string().describe('File path(s) to filter by (single value or comma-separated list for partial match)'),
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format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED), "full" for complete details'),
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type: z.string().optional().describe('Filter by observation type (single value or comma-separated list: decision,bugfix,feature,refactor,discovery,change)'),
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concepts: z.string().optional().describe('Filter by concept tags (single value or comma-separated list)'),
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project: z.string().optional().describe('Filter by project name'),
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dateStart: z.union([z.string(), z.number()]).optional().describe('Start date for filtering (ISO string or epoch timestamp)'),
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dateEnd: z.union([z.string(), z.number()]).optional().describe('End date for filtering (ISO string or epoch timestamp)'),
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limit: z.number().min(1).max(100).default(20).describe('Maximum number of results'),
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offset: z.number().min(0).default(0).describe('Number of results to skip'),
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orderBy: z.enum(['date_desc', 'date_asc']).default('date_desc').describe('Sort order')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['find_by_file'];
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return await callWorkerAPI(endpoint, args);
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}
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},
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{
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name: 'find_by_type',
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description: 'Find observations of specific types. Returns observations matching any of the provided observation types.',
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inputSchema: z.object({
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type: z.string().describe('Observation type(s) to filter by (single value or comma-separated list: decision,bugfix,feature,refactor,discovery,change)'),
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format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED), "full" for complete details'),
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concepts: z.string().optional().describe('Filter by concept tags (single value or comma-separated list)'),
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files: z.string().optional().describe('Filter by file paths (single value or comma-separated list for partial match)'),
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project: z.string().optional().describe('Filter by project name'),
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dateStart: z.union([z.string(), z.number()]).optional().describe('Start date for filtering (ISO string or epoch timestamp)'),
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dateEnd: z.union([z.string(), z.number()]).optional().describe('End date for filtering (ISO string or epoch timestamp)'),
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limit: z.number().min(1).max(100).default(20).describe('Maximum number of results'),
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offset: z.number().min(0).default(0).describe('Number of results to skip'),
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orderBy: z.enum(['date_desc', 'date_asc']).default('date_desc').describe('Sort order')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['find_by_type'];
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return await callWorkerAPI(endpoint, args);
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}
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},
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{
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name: 'get_recent_context',
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description: 'Get recent session context for timeline display. Returns recent observations, sessions, and user prompts with metadata for building timeline UI.',
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inputSchema: z.object({
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limit: z.number().min(1).max(100).default(30).describe('Maximum number of timeline items to return'),
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format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED), "full" for complete details'),
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type: z.string().optional().describe('Filter by observation type (single value or comma-separated list: decision,bugfix,feature,refactor,discovery,change)'),
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concepts: z.string().optional().describe('Filter by concept tags (single value or comma-separated list)'),
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files: z.string().optional().describe('Filter by file paths (single value or comma-separated list for partial match)'),
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project: z.string().optional().describe('Filter by project name'),
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dateStart: z.union([z.string(), z.number()]).optional().describe('Start date for filtering (ISO string or epoch timestamp)'),
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dateEnd: z.union([z.string(), z.number()]).optional().describe('End date for filtering (ISO string or epoch timestamp)')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['get_recent_context'];
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return await callWorkerAPI(endpoint, args);
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}
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},
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{
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name: 'get_context_timeline',
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description: 'Get timeline of observations around a specific observation ID. Returns observations before and after the anchor point with metadata for timeline display.',
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inputSchema: z.object({
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anchor_id: z.number().describe('Observation ID to use as anchor point'),
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before: z.number().min(0).max(100).default(10).describe('Number of observations to fetch before anchor'),
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after: z.number().min(0).max(100).default(10).describe('Number of observations to fetch after anchor'),
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format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED), "full" for complete details'),
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type: z.string().optional().describe('Filter by observation type (single value or comma-separated list: decision,bugfix,feature,refactor,discovery,change)'),
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concepts: z.string().optional().describe('Filter by concept tags (single value or comma-separated list)'),
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files: z.string().optional().describe('Filter by file paths (single value or comma-separated list for partial match)'),
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project: z.string().optional().describe('Filter by project name')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['get_context_timeline'];
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return await callWorkerAPI(endpoint, args);
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}
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},
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{
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name: 'get_timeline_by_query',
|
|
description: 'Combined search + timeline tool. First searches for observations matching the query, then returns timeline around the best match. Useful for finding specific observations and viewing their context.',
|
|
inputSchema: z.object({
|
|
query: z.string().describe('Natural language query to find anchor observation'),
|
|
before: z.number().min(0).max(100).default(10).describe('Number of observations to fetch before anchor'),
|
|
after: z.number().min(0).max(100).default(10).describe('Number of observations to fetch after anchor'),
|
|
format: z.enum(['index', 'full']).default('index').describe('Output format: "index" for titles/dates only (default, RECOMMENDED), "full" for complete details'),
|
|
type: z.string().optional().describe('Filter by observation type (single value or comma-separated list: decision,bugfix,feature,refactor,discovery,change)'),
|
|
concepts: z.string().optional().describe('Filter by concept tags (single value or comma-separated list)'),
|
|
files: z.string().optional().describe('Filter by file paths (single value or comma-separated list for partial match)'),
|
|
project: z.string().optional().describe('Filter by project name'),
|
|
dateStart: z.union([z.string(), z.number()]).optional().describe('Start date for filtering (ISO string or epoch timestamp)'),
|
|
dateEnd: z.union([z.string(), z.number()]).optional().describe('End date for filtering (ISO string or epoch timestamp)')
|
|
}),
|
|
handler: async (args: any) => {
|
|
const endpoint = TOOL_ENDPOINT_MAP['get_timeline_by_query'];
|
|
return await callWorkerAPI(endpoint, args);
|
|
}
|
|
}
|
|
];
|
|
|
|
// Create the MCP server
|
|
const server = new Server(
|
|
{
|
|
name: 'claude-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: zodToJsonSchema(tool.inputSchema) as Record<string, unknown>
|
|
}))
|
|
};
|
|
});
|
|
|
|
// 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() {
|
|
silentDebug('[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);
|
|
silentDebug('[mcp-server] Claude-mem search server started');
|
|
|
|
// Check Worker availability in background
|
|
setTimeout(async () => {
|
|
const workerAvailable = await verifyWorkerConnection();
|
|
if (!workerAvailable) {
|
|
silentDebug('[mcp-server] WARNING: Worker not available at', WORKER_BASE_URL);
|
|
silentDebug('[mcp-server] Tools will fail until Worker is started');
|
|
silentDebug('[mcp-server] Start Worker with: npm run worker:restart');
|
|
} else {
|
|
silentDebug('[mcp-server] Worker available at', WORKER_BASE_URL);
|
|
}
|
|
}, 0);
|
|
}
|
|
|
|
main().catch((error) => {
|
|
silentDebug('[mcp-server] Fatal error:', error);
|
|
process.exit(1);
|
|
});
|