feat!: Fix timeline parameter passing with SearchManager alignment
BREAKING CHANGE: Timeline MCP tools now use standardized parameter names - anchor_id → anchor - before → depth_before - after → depth_after - obs_type → type (timeline tool only) Fixes timeline endpoint failures caused by parameter name mismatch between MCP layer and SearchManager. Adds new SessionStore methods for fetching prompts and session summaries by ID. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
+170
-25
@@ -41,7 +41,8 @@ const TOOL_ENDPOINT_MAP: Record<string, string> = {
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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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'get_timeline_by_query': '/api/timeline/by-query',
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'progressive_ix': '/api/instructions'
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};
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/**
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@@ -89,6 +90,94 @@ async function callWorkerAPI(
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}
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}
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/**
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* Call Worker HTTP API with path parameter (GET)
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*/
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async function callWorkerAPIWithPath(
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endpoint: string,
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id: number
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): Promise<{ content: Array<{ type: 'text'; text: string }>; isError?: boolean }> {
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happy_path_error__with_fallback('[mcp-server] → Worker API (path)', { endpoint, id });
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try {
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const url = `${WORKER_BASE_URL}${endpoint}/${id}`;
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const response = await fetch(url);
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if (!response.ok) {
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const errorText = await response.text();
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throw new Error(`Worker API error (${response.status}): ${errorText}`);
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}
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const data = await response.json();
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happy_path_error__with_fallback('[mcp-server] ← Worker API success (path)', { endpoint, id });
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// Wrap raw data in MCP format
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return {
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content: [{
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type: 'text' as const,
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text: JSON.stringify(data, null, 2)
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}]
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};
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} catch (error: any) {
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happy_path_error__with_fallback('[mcp-server] ← Worker API error (path)', { endpoint, id, 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: ${error.message}`
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}],
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isError: true
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};
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}
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}
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/**
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* Call Worker HTTP API with POST body
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*/
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async function callWorkerAPIPost(
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endpoint: string,
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body: Record<string, any>
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): Promise<{ content: Array<{ type: 'text'; text: string }>; isError?: boolean }> {
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happy_path_error__with_fallback('[mcp-server] → Worker API (POST)', { endpoint, body });
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try {
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const url = `${WORKER_BASE_URL}${endpoint}`;
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const response = await fetch(url, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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},
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body: JSON.stringify(body)
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});
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if (!response.ok) {
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const errorText = await response.text();
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throw new Error(`Worker API error (${response.status}): ${errorText}`);
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}
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const data = await response.json();
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happy_path_error__with_fallback('[mcp-server] ← Worker API success (POST)', { endpoint });
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// Wrap raw data in MCP format
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return {
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content: [{
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type: 'text' as const,
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text: JSON.stringify(data, null, 2)
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}]
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};
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} catch (error: any) {
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happy_path_error__with_fallback('[mcp-server] ← Worker API error (POST)', { 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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@@ -107,7 +196,7 @@ async function verifyWorkerConnection(): Promise<boolean> {
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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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description: 'Search observations, sessions, and prompts',
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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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@@ -129,14 +218,14 @@ const tools = [
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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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description: 'Get timeline around observation ID or query',
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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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query: z.string().optional().describe('Natural language query to find anchor observation (query-based mode). Mutually exclusive with anchor.'),
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anchor: z.number().optional().describe('Observation ID to use as anchor (anchor-based mode). Mutually exclusive with query.'),
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depth_before: z.number().min(0).max(100).default(10).describe('Number of observations to fetch before anchor'),
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depth_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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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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@@ -148,7 +237,7 @@ const tools = [
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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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description: 'Find architectural and design decisions',
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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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@@ -163,7 +252,7 @@ const tools = [
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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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description: 'Find code changes and refactorings',
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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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@@ -178,7 +267,7 @@ const tools = [
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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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description: 'Understand system architecture',
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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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@@ -193,7 +282,7 @@ const tools = [
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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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description: '[DEPRECATED] Search observations 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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@@ -214,7 +303,7 @@ const tools = [
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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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description: '[DEPRECATED] Search sessions 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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@@ -232,7 +321,7 @@ const tools = [
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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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description: '[DEPRECATED] Search prompts 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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@@ -250,7 +339,7 @@ const tools = [
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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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description: 'Find observations by 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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@@ -270,7 +359,7 @@ const tools = [
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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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description: 'Find observations by file paths',
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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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@@ -290,7 +379,7 @@ const tools = [
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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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description: 'Find observations by type',
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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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@@ -310,7 +399,7 @@ const tools = [
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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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description: 'Get recent timeline items',
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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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@@ -328,11 +417,11 @@ const tools = [
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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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description: 'Get timeline around specific observation',
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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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anchor: z.number().describe('Observation ID to use as anchor point'),
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depth_before: z.number().min(0).max(100).default(10).describe('Number of observations to fetch before anchor'),
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depth_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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@@ -346,11 +435,11 @@ const tools = [
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},
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{
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name: 'get_timeline_by_query',
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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.',
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description: 'Search and get timeline in one call',
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inputSchema: z.object({
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query: z.string().describe('Natural language query to find anchor observation'),
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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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depth_before: z.number().min(0).max(100).default(10).describe('Number of observations to fetch before anchor'),
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depth_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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@@ -363,6 +452,62 @@ const tools = [
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const endpoint = TOOL_ENDPOINT_MAP['get_timeline_by_query'];
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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: 'progressive_ix',
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description: 'Load detailed instructions for mem-search tools',
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inputSchema: z.object({
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topic: z.enum(['workflow', 'search_params', 'examples', 'all'])
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.default('all')
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.describe('Which instruction section to load: workflow (4-step process), search_params (parameters reference), examples (usage examples), all (complete guide)')
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}),
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handler: async (args: any) => {
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const endpoint = TOOL_ENDPOINT_MAP['progressive_ix'];
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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_observation',
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description: 'Get full details for a single observation by ID',
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inputSchema: z.object({
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id: z.number().describe('Observation ID from search/timeline results')
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}),
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handler: async (args: any) => {
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return await callWorkerAPIWithPath('/api/observation', args.id);
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}
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},
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{
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name: 'get_batch_observations',
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description: 'Get full details for multiple observations by IDs in one request',
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inputSchema: z.object({
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ids: z.array(z.number()).describe('Array of observation IDs to fetch'),
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orderBy: z.enum(['date_desc', 'date_asc']).optional().describe('Sort order for results'),
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limit: z.number().optional().describe('Maximum number of results to return'),
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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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return await callWorkerAPIPost('/api/observations/batch', args);
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}
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},
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{
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name: 'get_session',
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description: 'Get full session summary by ID',
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inputSchema: z.object({
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id: z.number().describe('Session ID (just the number from S1234)')
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}),
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handler: async (args: any) => {
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return await callWorkerAPIWithPath('/api/session', args.id);
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}
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},
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{
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name: 'get_prompt',
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description: 'Get user prompt by ID',
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inputSchema: z.object({
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id: z.number().describe('Prompt ID from search results')
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}),
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handler: async (args: any) => {
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return await callWorkerAPIWithPath('/api/prompt', args.id);
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}
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}
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];
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Block a user