From 9b8559b2ce5c6832d6bc0e9d9f135270ae6adba8 Mon Sep 17 00:00:00 2001 From: Clawd Date: Thu, 5 Mar 2026 23:01:21 +0000 Subject: [PATCH] Initial MCP server for Second Brain --- README.md | 103 +++ dist/index.d.ts | 8 + dist/index.js | 523 ++++++++++++++ package-lock.json | 1717 +++++++++++++++++++++++++++++++++++++++++++++ package.json | 23 + src/index.ts | 654 +++++++++++++++++ tsconfig.json | 16 + 7 files changed, 3044 insertions(+) create mode 100644 README.md create mode 100644 dist/index.d.ts create mode 100644 dist/index.js create mode 100644 package-lock.json create mode 100644 package.json create mode 100644 src/index.ts create mode 100644 tsconfig.json diff --git a/README.md b/README.md new file mode 100644 index 0000000..cc252f9 --- /dev/null +++ b/README.md @@ -0,0 +1,103 @@ +# Second Brain MCP Server + +MCP server to interact with your Second Brain knowledge management system from any MCP-compatible client (Claude Desktop, VS Code, etc.). + +## Features + +- **add_log** - Add quick notes/log entries with timestamps +- **add_document** - Create new markdown documents directly +- **upload_document** - Upload files (.md, .txt, .pdf, .json, .yaml, .csv) +- **search** - Semantic search across your knowledge base +- **chat** - Chat with AI using RAG on your documents +- **list_logs** / **get_log** - Browse daily logs +- **list_documents** - Browse vault contents +- **get_stats** - Knowledge base statistics +- **reindex** - Trigger vault reindexing + +## Installation + +```bash +# Clone or copy this folder to your local machine +cd second-brain-mcp + +# Install dependencies +npm install + +# Build +npm run build +``` + +## Configuration + +Set environment variables: + +```bash +# Required: Your Second Brain API URL +export SECOND_BRAIN_API_URL="https://2brain.coer.nl/api" + +# Optional: Basic auth credentials (if using access list) +export SECOND_BRAIN_USERNAME="your-username" +export SECOND_BRAIN_PASSWORD="your-password" +``` + +## Usage with Claude Desktop + +Add to your Claude Desktop config (`~/Library/Application Support/Claude/claude_desktop_config.json` on Mac or `%APPDATA%\Claude\claude_desktop_config.json` on Windows): + +```json +{ + "mcpServers": { + "second-brain": { + "command": "node", + "args": ["/path/to/second-brain-mcp/dist/index.js"], + "env": { + "SECOND_BRAIN_API_URL": "https://2brain.coer.nl/api", + "SECOND_BRAIN_USERNAME": "your-username", + "SECOND_BRAIN_PASSWORD": "your-password" + } + } + } +} +``` + +## Usage with VS Code (Copilot) + +Add to your VS Code settings: + +```json +{ + "github.copilot.chat.mcpServers": { + "second-brain": { + "command": "node", + "args": ["/path/to/second-brain-mcp/dist/index.js"], + "env": { + "SECOND_BRAIN_API_URL": "https://2brain.coer.nl/api" + } + } + } +} +``` + +## Example Usage + +Once configured, you can use natural language: + +- "Add a note about the meeting with John today" +- "Search my knowledge base for homelab documentation" +- "What do I know about Proxmox configuration?" +- "Upload this requirements.txt file to my second brain" +- "Show me my recent logs" + +## Development + +```bash +# Run in development mode +npm run dev + +# Build for production +npm run build +``` + +## License + +MIT diff --git a/dist/index.d.ts b/dist/index.d.ts new file mode 100644 index 0000000..52c720f --- /dev/null +++ b/dist/index.d.ts @@ -0,0 +1,8 @@ +#!/usr/bin/env node +/** + * Second Brain MCP Server + * + * MCP server to interact with the Second Brain RAG knowledge management system. + * Provides tools for adding logs, uploading documents, searching, and chatting. + */ +export {}; diff --git a/dist/index.js b/dist/index.js new file mode 100644 index 0000000..76cdba3 --- /dev/null +++ b/dist/index.js @@ -0,0 +1,523 @@ +#!/usr/bin/env node +/** + * Second Brain MCP Server + * + * MCP server to interact with the Second Brain RAG knowledge management system. + * Provides tools for adding logs, uploading documents, searching, and chatting. + */ +import { Server } from "@modelcontextprotocol/sdk/server/index.js"; +import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; +import { CallToolRequestSchema, ListToolsRequestSchema, ListResourcesRequestSchema, ReadResourceRequestSchema, } from "@modelcontextprotocol/sdk/types.js"; +import * as fs from "fs"; +import * as path from "path"; +// Configuration - can be overridden via environment variables +const API_BASE_URL = process.env.SECOND_BRAIN_API_URL || "https://2brain.coer.nl/api"; +const API_USERNAME = process.env.SECOND_BRAIN_USERNAME || ""; +const API_PASSWORD = process.env.SECOND_BRAIN_PASSWORD || ""; +// Build auth header if credentials provided +function getAuthHeader() { + if (API_USERNAME && API_PASSWORD) { + const credentials = Buffer.from(`${API_USERNAME}:${API_PASSWORD}`).toString("base64"); + return { Authorization: `Basic ${credentials}` }; + } + return {}; +} +// Helper to make API requests +async function apiRequest(endpoint, options = {}) { + const url = `${API_BASE_URL}${endpoint}`; + const headers = { + ...getAuthHeader(), + ...options.headers, + }; + const response = await fetch(url, { + ...options, + headers, + }); + return response; +} +// Define available tools +const TOOLS = [ + { + name: "add_log", + description: "Add a quick log entry or note to the Second Brain. Entries are timestamped and stored in daily log files.", + inputSchema: { + type: "object", + properties: { + content: { + type: "string", + description: "The content of the log entry (markdown supported)", + }, + title: { + type: "string", + description: "Optional title for the log entry", + }, + tags: { + type: "array", + items: { type: "string" }, + description: "Optional tags for categorization (without # prefix)", + }, + }, + required: ["content"], + }, + }, + { + name: "upload_document", + description: "Upload a document file to the Second Brain vault. Supports .md, .txt, .pdf, .json, .yaml, .csv files.", + inputSchema: { + type: "object", + properties: { + file_path: { + type: "string", + description: "Path to the file to upload", + }, + folder: { + type: "string", + description: "Target folder in vault (default: uploads)", + }, + tags: { + type: "string", + description: "Comma-separated tags for the document", + }, + }, + required: ["file_path"], + }, + }, + { + name: "add_document", + description: "Create a new markdown document in the Second Brain vault directly from content.", + inputSchema: { + type: "object", + properties: { + content: { + type: "string", + description: "The markdown content of the document", + }, + filename: { + type: "string", + description: "Filename for the document (with .md extension)", + }, + folder: { + type: "string", + description: "Target folder in vault (default: documents)", + }, + tags: { + type: "string", + description: "Comma-separated tags for the document", + }, + }, + required: ["content", "filename"], + }, + }, + { + name: "search", + description: "Search the Second Brain vault using semantic search. Returns relevant document chunks.", + inputSchema: { + type: "object", + properties: { + query: { + type: "string", + description: "Search query", + }, + top_k: { + type: "number", + description: "Number of results to return (default: 5)", + }, + }, + required: ["query"], + }, + }, + { + name: "chat", + description: "Chat with the Second Brain AI. Uses RAG to answer questions based on your knowledge base.", + inputSchema: { + type: "object", + properties: { + message: { + type: "string", + description: "Your question or message", + }, + }, + required: ["message"], + }, + }, + { + name: "list_logs", + description: "List recent log entries from the Second Brain.", + inputSchema: { + type: "object", + properties: { + limit: { + type: "number", + description: "Number of logs to return (default: 10)", + }, + }, + }, + }, + { + name: "get_log", + description: "Get the contents of a specific daily log file.", + inputSchema: { + type: "object", + properties: { + date: { + type: "string", + description: "Date in YYYY-MM-DD format", + }, + }, + required: ["date"], + }, + }, + { + name: "list_documents", + description: "List documents in the Second Brain vault.", + inputSchema: { + type: "object", + properties: { + folder: { + type: "string", + description: "Filter by folder", + }, + limit: { + type: "number", + description: "Number of documents to return (default: 20)", + }, + }, + }, + }, + { + name: "get_stats", + description: "Get statistics about the Second Brain knowledge base.", + inputSchema: { + type: "object", + properties: {}, + }, + }, + { + name: "reindex", + description: "Trigger a full reindex of the vault. Use after bulk changes.", + inputSchema: { + type: "object", + properties: {}, + }, + }, +]; +// Tool implementations +async function handleAddLog(args) { + const response = await apiRequest("/v1/capture/log", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + content: args.content, + title: args.title, + tags: args.tags, + }), + }); + const data = await response.json(); + if (!response.ok) { + throw new Error(`Failed to add log: ${data.detail || response.statusText}`); + } + return `✅ Log entry added!\n- File: ${data.file_path}\n- Timestamp: ${data.timestamp}`; +} +async function handleUploadDocument(args) { + const filePath = path.resolve(args.file_path); + if (!fs.existsSync(filePath)) { + throw new Error(`File not found: ${filePath}`); + } + const filename = path.basename(filePath); + const fileContent = fs.readFileSync(filePath); + const blob = new Blob([fileContent]); + const formData = new FormData(); + formData.append("file", blob, filename); + if (args.folder) + formData.append("folder", args.folder); + if (args.tags) + formData.append("tags", args.tags); + const response = await apiRequest("/v1/capture/upload", { + method: "POST", + body: formData, + }); + const data = await response.json(); + if (!response.ok) { + throw new Error(`Failed to upload: ${data.detail || response.statusText}`); + } + return `✅ Document uploaded!\n- Path: ${data.file_path}\n- Size: ${data.size_bytes} bytes`; +} +async function handleAddDocument(args) { + // Create a temporary file and upload it + const tempDir = process.env.TMPDIR || "/tmp"; + const tempPath = path.join(tempDir, args.filename); + let content = args.content; + // Add frontmatter if tags provided + if (args.tags) { + const tagList = args.tags.split(",").map((t) => t.trim()); + const frontmatter = `---\ntags: [${tagList.join(", ")}]\ncreated: ${new Date().toISOString()}\n---\n\n`; + content = frontmatter + content; + } + fs.writeFileSync(tempPath, content, "utf-8"); + try { + const result = await handleUploadDocument({ + file_path: tempPath, + folder: args.folder || "documents", + }); + return result; + } + finally { + fs.unlinkSync(tempPath); + } +} +async function handleSearch(args) { + const params = new URLSearchParams({ + q: args.query, + top_k: String(args.top_k || 5), + }); + const response = await apiRequest(`/v1/search?${params}`); + const data = await response.json(); + if (!response.ok) { + throw new Error(`Search failed: ${data.detail || response.statusText}`); + } + if (!data.results || data.results.length === 0) { + return "No results found."; + } + let output = `Found ${data.results.length} results:\n\n`; + for (const result of data.results) { + output += `### ${result.title || result.path}\n`; + output += `Score: ${(result.score * 100).toFixed(1)}%\n`; + output += `${result.content?.substring(0, 200)}...\n\n`; + } + return output; +} +async function handleChat(args) { + const response = await apiRequest("/v1/chat", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ message: args.message }), + }); + if (!response.ok) { + const errorData = await response.json().catch(() => ({})); + throw new Error(`Chat failed: ${errorData.detail || response.statusText}`); + } + // Handle SSE stream + const reader = response.body?.getReader(); + if (!reader) { + throw new Error("No response body"); + } + let fullResponse = ""; + let sources = []; + const decoder = new TextDecoder(); + while (true) { + const { done, value } = await reader.read(); + if (done) + break; + const text = decoder.decode(value, { stream: true }); + const lines = text.split("\n"); + for (const line of lines) { + if (line.startsWith("data: ")) { + try { + const data = JSON.parse(line.substring(6)); + if (data.type === "token") { + fullResponse += data.token; + } + else if (data.type === "sources" && data.sources) { + sources = data.sources.map((s) => `- ${s.title || s.path}`); + } + } + catch { + // Ignore parse errors + } + } + } + } + let output = fullResponse; + if (sources.length > 0) { + output += "\n\n**Sources:**\n" + sources.join("\n"); + } + return output; +} +async function handleListLogs(args) { + const params = new URLSearchParams({ + limit: String(args.limit || 10), + }); + const response = await apiRequest(`/v1/capture/logs?${params}`); + const data = await response.json(); + if (!response.ok) { + throw new Error(`Failed to list logs: ${data.detail || response.statusText}`); + } + if (!data.logs || data.logs.length === 0) { + return "No logs found."; + } + let output = `📝 Recent logs (${data.total}):\n\n`; + for (const log of data.logs) { + output += `- **${log.date}** (${log.size_bytes} bytes)\n`; + } + return output; +} +async function handleGetLog(args) { + const response = await apiRequest(`/v1/capture/log/${args.date}`); + const data = await response.json(); + if (!response.ok) { + throw new Error(`Failed to get log: ${data.detail || response.statusText}`); + } + return `# Log for ${args.date}\n\n${data.content}`; +} +async function handleListDocuments(args) { + const params = new URLSearchParams({ + limit: String(args.limit || 20), + }); + if (args.folder) + params.append("folder", args.folder); + const response = await apiRequest(`/v1/documents?${params}`); + const data = await response.json(); + if (!response.ok) { + throw new Error(`Failed to list documents: ${data.detail || response.statusText}`); + } + if (!data.documents || data.documents.length === 0) { + return "No documents found."; + } + let output = `📚 Documents (${data.total}):\n\n`; + for (const doc of data.documents) { + output += `- **${doc.title || doc.path}**`; + if (doc.tags?.length) + output += ` [${doc.tags.join(", ")}]`; + output += "\n"; + } + return output; +} +async function handleGetStats() { + const response = await apiRequest("/v1/stats"); + const data = await response.json(); + if (!response.ok) { + throw new Error(`Failed to get stats: ${data.detail || response.statusText}`); + } + return `📊 Second Brain Stats: +- Documents: ${data.document_count || 0} +- Chunks: ${data.chunk_count || 0} +- Vault size: ${data.vault_size_mb?.toFixed(2) || 0} MB +- Last indexed: ${data.last_indexed || "Never"}`; +} +async function handleReindex() { + const response = await apiRequest("/v1/index/reindex", { + method: "POST", + }); + const data = await response.json(); + if (!response.ok) { + throw new Error(`Reindex failed: ${data.detail || response.statusText}`); + } + return `🔄 Reindex triggered!\n- Status: ${data.status || "started"}`; +} +// Create and configure the MCP server +const server = new Server({ + name: "second-brain-mcp", + version: "1.0.0", +}, { + capabilities: { + tools: {}, + resources: {}, + }, +}); +// Handle tool listing +server.setRequestHandler(ListToolsRequestSchema, async () => { + return { tools: TOOLS }; +}); +// Handle tool calls +server.setRequestHandler(CallToolRequestSchema, async (request) => { + const { name, arguments: args } = request.params; + try { + let result; + switch (name) { + case "add_log": + result = await handleAddLog(args); + break; + case "upload_document": + result = await handleUploadDocument(args); + break; + case "add_document": + result = await handleAddDocument(args); + break; + case "search": + result = await handleSearch(args); + break; + case "chat": + result = await handleChat(args); + break; + case "list_logs": + result = await handleListLogs(args); + break; + case "get_log": + result = await handleGetLog(args); + break; + case "list_documents": + result = await handleListDocuments(args); + break; + case "get_stats": + result = await handleGetStats(); + break; + case "reindex": + result = await handleReindex(); + break; + default: + throw new Error(`Unknown tool: ${name}`); + } + return { + content: [{ type: "text", text: result }], + }; + } + catch (error) { + const message = error instanceof Error ? error.message : String(error); + return { + content: [{ type: "text", text: `Error: ${message}` }], + isError: true, + }; + } +}); +// Handle resource listing (expose recent logs as resources) +server.setRequestHandler(ListResourcesRequestSchema, async () => { + try { + const response = await apiRequest("/v1/capture/logs?limit=5"); + const data = await response.json(); + if (!response.ok || !data.logs) { + return { resources: [] }; + } + return { + resources: data.logs.map((log) => ({ + uri: `secondbrain://logs/${log.date}`, + name: `Log: ${log.date}`, + mimeType: "text/markdown", + })), + }; + } + catch { + return { resources: [] }; + } +}); +// Handle resource reading +server.setRequestHandler(ReadResourceRequestSchema, async (request) => { + const uri = request.params.uri; + if (uri.startsWith("secondbrain://logs/")) { + const date = uri.replace("secondbrain://logs/", ""); + const response = await apiRequest(`/v1/capture/log/${date}`); + const data = await response.json(); + if (!response.ok) { + throw new Error(`Log not found: ${date}`); + } + return { + 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@@ -0,0 +1,654 @@ +#!/usr/bin/env node +/** + * Second Brain MCP Server + * + * MCP server to interact with the Second Brain RAG knowledge management system. + * Provides tools for adding logs, uploading documents, searching, and chatting. + */ + +import { Server } from "@modelcontextprotocol/sdk/server/index.js"; +import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; +import { + CallToolRequestSchema, + ListToolsRequestSchema, + ListResourcesRequestSchema, + ReadResourceRequestSchema, + Tool, +} from "@modelcontextprotocol/sdk/types.js"; +import * as fs from "fs"; +import * as path from "path"; + +// Configuration - can be overridden via environment variables +const API_BASE_URL = process.env.SECOND_BRAIN_API_URL || "https://2brain.coer.nl/api"; +const API_USERNAME = process.env.SECOND_BRAIN_USERNAME || ""; +const API_PASSWORD = process.env.SECOND_BRAIN_PASSWORD || ""; + +// Build auth header if credentials provided +function getAuthHeader(): Record { + if (API_USERNAME && API_PASSWORD) { + const credentials = Buffer.from(`${API_USERNAME}:${API_PASSWORD}`).toString("base64"); + return { Authorization: `Basic ${credentials}` }; + } + return {}; +} + +// Helper to make API requests +async function apiRequest( + endpoint: string, + options: RequestInit = {} +): Promise { + const url = `${API_BASE_URL}${endpoint}`; + const headers = { + ...getAuthHeader(), + ...options.headers, + }; + + const response = await fetch(url, { + ...options, + headers, + }); + + return response; +} + +// Define available tools +const TOOLS: Tool[] = [ + { + name: "add_log", + description: + "Add a quick log entry or note to the Second Brain. Entries are timestamped and stored in daily log files.", + inputSchema: { + type: "object", + properties: { + content: { + type: "string", + description: "The content of the log entry (markdown supported)", + }, + title: { + type: "string", + description: "Optional title for the log entry", + }, + tags: { + type: "array", + items: { type: "string" }, + description: "Optional tags for categorization (without # prefix)", + }, + }, + required: ["content"], + }, + }, + { + name: "upload_document", + description: + "Upload a document file to the Second Brain vault. Supports .md, .txt, .pdf, .json, .yaml, .csv files.", + inputSchema: { + type: "object", + properties: { + file_path: { + type: "string", + description: "Path to the file to upload", + }, + folder: { + type: "string", + description: "Target folder in vault (default: uploads)", + }, + tags: { + type: "string", + description: "Comma-separated tags for the document", + }, + }, + required: ["file_path"], + }, + }, + { + name: "add_document", + description: + "Create a new markdown document in the Second Brain vault directly from content.", + inputSchema: { + type: "object", + properties: { + content: { + type: "string", + description: "The markdown content of the document", + }, + filename: { + type: "string", + description: "Filename for the document (with .md extension)", + }, + folder: { + type: "string", + description: "Target folder in vault (default: documents)", + }, + tags: { + type: "string", + description: "Comma-separated tags for the document", + }, + }, + required: ["content", "filename"], + }, + }, + { + name: "search", + description: + "Search the Second Brain vault using semantic search. Returns relevant document chunks.", + inputSchema: { + type: "object", + properties: { + query: { + type: "string", + description: "Search query", + }, + top_k: { + type: "number", + description: "Number of results to return (default: 5)", + }, + }, + required: ["query"], + }, + }, + { + name: "chat", + description: + "Chat with the Second Brain AI. Uses RAG to answer questions based on your knowledge base.", + inputSchema: { + type: "object", + properties: { + message: { + type: "string", + description: "Your question or message", + }, + }, + required: ["message"], + }, + }, + { + name: "list_logs", + description: "List recent log entries from the Second Brain.", + inputSchema: { + type: "object", + properties: { + limit: { + type: "number", + description: "Number of logs to return (default: 10)", + }, + }, + }, + }, + { + name: "get_log", + description: "Get the contents of a specific daily log file.", + inputSchema: { + type: "object", + properties: { + date: { + type: "string", + description: "Date in YYYY-MM-DD format", + }, + }, + required: ["date"], + }, + }, + { + name: "list_documents", + description: "List documents in the Second Brain vault.", + inputSchema: { + type: "object", + properties: { + folder: { + type: "string", + description: "Filter by folder", + }, + limit: { + type: "number", + description: "Number of documents to return (default: 20)", + }, + }, + }, + }, + { + name: "get_stats", + description: "Get statistics about the Second Brain knowledge base.", + inputSchema: { + type: "object", + properties: {}, + }, + }, + { + name: "reindex", + description: + "Trigger a full reindex of the vault. Use after bulk changes.", + inputSchema: { + type: "object", + properties: {}, + }, + }, +]; + +// Tool implementations +async function handleAddLog(args: { + content: string; + title?: string; + tags?: string[]; +}): Promise { + const response = await apiRequest("/v1/capture/log", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + content: args.content, + title: args.title, + tags: args.tags, + }), + }); + + const data = await response.json(); + + if (!response.ok) { + throw new Error(`Failed to add log: ${data.detail || response.statusText}`); + } + + return `✅ Log entry added!\n- File: ${data.file_path}\n- Timestamp: ${data.timestamp}`; +} + +async function handleUploadDocument(args: { + file_path: string; + folder?: string; + tags?: string; +}): Promise { + const filePath = path.resolve(args.file_path); + + if (!fs.existsSync(filePath)) { + throw new Error(`File not found: ${filePath}`); + } + + const filename = path.basename(filePath); + const fileContent = fs.readFileSync(filePath); + const blob = new Blob([fileContent]); + + const formData = new FormData(); + formData.append("file", blob, filename); + if (args.folder) formData.append("folder", args.folder); + if (args.tags) formData.append("tags", args.tags); + + const response = await apiRequest("/v1/capture/upload", { + method: "POST", + body: formData, + }); + + const data = await response.json(); + + if (!response.ok) { + throw new Error( + `Failed to upload: ${data.detail || response.statusText}` + ); + } + + return `✅ Document uploaded!\n- Path: ${data.file_path}\n- Size: ${data.size_bytes} bytes`; +} + +async function handleAddDocument(args: { + content: string; + filename: string; + folder?: string; + tags?: string; +}): Promise { + // Create a temporary file and upload it + const tempDir = process.env.TMPDIR || "/tmp"; + const tempPath = path.join(tempDir, args.filename); + + let content = args.content; + + // Add frontmatter if tags provided + if (args.tags) { + const tagList = args.tags.split(",").map((t) => t.trim()); + const frontmatter = `---\ntags: [${tagList.join(", ")}]\ncreated: ${new Date().toISOString()}\n---\n\n`; + content = frontmatter + content; + } + + fs.writeFileSync(tempPath, content, "utf-8"); + + try { + const result = await handleUploadDocument({ + file_path: tempPath, + folder: args.folder || "documents", + }); + return result; + } finally { + fs.unlinkSync(tempPath); + } +} + +async function handleSearch(args: { + query: string; + top_k?: number; +}): Promise { + const params = new URLSearchParams({ + q: args.query, + top_k: String(args.top_k || 5), + }); + + const response = await apiRequest(`/v1/search?${params}`); + const data = await response.json(); + + if (!response.ok) { + throw new Error( + `Search failed: ${data.detail || response.statusText}` + ); + } + + if (!data.results || data.results.length === 0) { + return "No results found."; + } + + let output = `Found ${data.results.length} results:\n\n`; + for (const result of data.results) { + output += `### ${result.title || result.path}\n`; + output += `Score: ${(result.score * 100).toFixed(1)}%\n`; + output += `${result.content?.substring(0, 200)}...\n\n`; + } + + return output; +} + +async function handleChat(args: { message: string }): Promise { + const response = await apiRequest("/v1/chat", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ message: args.message }), + }); + + if (!response.ok) { + const errorData = await response.json().catch(() => ({})); + throw new Error( + `Chat failed: ${errorData.detail || response.statusText}` + ); + } + + // Handle SSE stream + const reader = response.body?.getReader(); + if (!reader) { + throw new Error("No response body"); + } + + let fullResponse = ""; + let sources: string[] = []; + const decoder = new TextDecoder(); + + while (true) { + const { done, value } = await reader.read(); + if (done) break; + + const text = decoder.decode(value, { stream: true }); + const lines = text.split("\n"); + + for (const line of lines) { + if (line.startsWith("data: ")) { + try { + const data = JSON.parse(line.substring(6)); + if (data.type === "token") { + fullResponse += data.token; + } else if (data.type === "sources" && data.sources) { + sources = data.sources.map( + (s: { title: string; path: string }) => + `- ${s.title || s.path}` + ); + } + } catch { + // Ignore parse errors + } + } + } + } + + let output = fullResponse; + if (sources.length > 0) { + output += "\n\n**Sources:**\n" + sources.join("\n"); + } + + return output; +} + +async function handleListLogs(args: { limit?: number }): Promise { + const params = new URLSearchParams({ + limit: String(args.limit || 10), + }); + + const response = await apiRequest(`/v1/capture/logs?${params}`); + const data = await response.json(); + + if (!response.ok) { + throw new Error( + `Failed to list logs: ${data.detail || response.statusText}` + ); + } + + if (!data.logs || data.logs.length === 0) { + return "No logs found."; + } + + let output = `📝 Recent logs (${data.total}):\n\n`; + for (const log of data.logs) { + output += `- **${log.date}** (${log.size_bytes} bytes)\n`; + } + + return output; +} + +async function handleGetLog(args: { date: string }): Promise { + const response = await apiRequest(`/v1/capture/log/${args.date}`); + const data = await response.json(); + + if (!response.ok) { + throw new Error( + `Failed to get log: ${data.detail || response.statusText}` + ); + } + + return `# Log for ${args.date}\n\n${data.content}`; +} + +async function handleListDocuments(args: { + folder?: string; + limit?: number; +}): Promise { + const params = new URLSearchParams({ + limit: String(args.limit || 20), + }); + if (args.folder) params.append("folder", args.folder); + + const response = await apiRequest(`/v1/documents?${params}`); + const data = await response.json(); + + if (!response.ok) { + throw new Error( + `Failed to list documents: ${data.detail || response.statusText}` + ); + } + + if (!data.documents || data.documents.length === 0) { + return "No documents found."; + } + + let output = `📚 Documents (${data.total}):\n\n`; + for (const doc of data.documents) { + output += `- **${doc.title || doc.path}**`; + if (doc.tags?.length) output += ` [${doc.tags.join(", ")}]`; + output += "\n"; + } + + return output; +} + +async function handleGetStats(): Promise { + const response = await apiRequest("/v1/stats"); + const data = await response.json(); + + if (!response.ok) { + throw new Error( + `Failed to get stats: ${data.detail || response.statusText}` + ); + } + + return `📊 Second Brain Stats: +- Documents: ${data.document_count || 0} +- Chunks: ${data.chunk_count || 0} +- Vault size: ${data.vault_size_mb?.toFixed(2) || 0} MB +- Last indexed: ${data.last_indexed || "Never"}`; +} + +async function handleReindex(): Promise { + const response = await apiRequest("/v1/index/reindex", { + method: "POST", + }); + + const data = await response.json(); + + if (!response.ok) { + throw new Error( + `Reindex failed: ${data.detail || response.statusText}` + ); + } + + return `🔄 Reindex triggered!\n- Status: ${data.status || "started"}`; +} + +// Create and configure the MCP server +const server = new Server( + { + name: "second-brain-mcp", + version: "1.0.0", + }, + { + capabilities: { + tools: {}, + resources: {}, + }, + } +); + +// Handle tool listing +server.setRequestHandler(ListToolsRequestSchema, async () => { + return { tools: TOOLS }; +}); + +// Handle tool calls +server.setRequestHandler(CallToolRequestSchema, async (request) => { + const { name, arguments: args } = request.params; + + try { + let result: string; + + switch (name) { + case "add_log": + result = await handleAddLog(args as Parameters[0]); + break; + case "upload_document": + result = await handleUploadDocument( + args as Parameters[0] + ); + break; + case "add_document": + result = await handleAddDocument( + args as Parameters[0] + ); + break; + case "search": + result = await handleSearch(args as Parameters[0]); + break; + case "chat": + result = await handleChat(args as Parameters[0]); + break; + case "list_logs": + result = await handleListLogs( + args as Parameters[0] + ); + break; + case "get_log": + result = await handleGetLog(args as Parameters[0]); + break; + case "list_documents": + result = await handleListDocuments( + args as Parameters[0] + ); + break; + case "get_stats": + result = await handleGetStats(); + break; + case "reindex": + result = await handleReindex(); + break; + default: + throw new Error(`Unknown tool: ${name}`); + } + + return { + content: [{ type: "text", text: result }], + }; + } catch (error) { + const message = error instanceof Error ? error.message : String(error); + return { + content: [{ type: "text", text: `Error: ${message}` }], + isError: true, + }; + } +}); + +// Handle resource listing (expose recent logs as resources) +server.setRequestHandler(ListResourcesRequestSchema, async () => { + try { + const response = await apiRequest("/v1/capture/logs?limit=5"); + const data = await response.json(); + + if (!response.ok || !data.logs) { + return { resources: [] }; + } + + return { + resources: data.logs.map((log: { date: string; file_path: string }) => ({ + uri: `secondbrain://logs/${log.date}`, + name: `Log: ${log.date}`, + mimeType: "text/markdown", + })), + }; + } catch { + return { resources: [] }; + } +}); + +// Handle resource reading +server.setRequestHandler(ReadResourceRequestSchema, async (request) => { + const uri = request.params.uri; + + if (uri.startsWith("secondbrain://logs/")) { + const date = uri.replace("secondbrain://logs/", ""); + const response = await apiRequest(`/v1/capture/log/${date}`); + const data = await response.json(); + + if (!response.ok) { + throw new Error(`Log not found: ${date}`); + } + + return { + contents: [ + { + uri, + mimeType: "text/markdown", + text: data.content, + }, + ], + }; + } + + throw new Error(`Unknown resource: ${uri}`); +}); + +// Start the server +async function main() { + const transport = new StdioServerTransport(); + await server.connect(transport); + console.error("Second Brain MCP Server running on stdio"); +} + +main().catch((error) => { + console.error("Fatal error:", error); + process.exit(1); +}); diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..e9005d0 --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,16 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "NodeNext", + "moduleResolution": "NodeNext", + "outDir": "./dist", + "rootDir": "./src", + "strict": true, + "esModuleInterop": true, + "skipLibCheck": true, + "forceConsistentCasingInFileNames": true, + "declaration": true + }, + "include": ["src/**/*"], + "exclude": ["node_modules", "dist"] +}