Context Book MCP Server

@aditya201551

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

aditya201551

提交者

Aditya Raj

关于 Context Book MCP Server

Stop re-explaining yourself to agents. Give it the right context right when it is needed.

#mcp #llm #mcp-server #ai#context-managment#memory #context #mcpserver

Context Book MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "context-book": {
      "url": "https://context-book-mcp-production.up.railway.app"
    }
  }
}

Context Book MCP Server 工具

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概览

What is Context Book?

Context Book is an MCP server that gives AI tools a persistent, searchable knowledge library, so they don't start from scratch on every conversation. It uses PostgreSQL with pgvector and pg_trgm for storage and Voyage AI for embeddings. The system consists of two Go binaries: an API server for authentication, book/page CRUD, and a dashboard; and an MCP server exposing eight Bearer-authenticated tools for AI agents.

How to use Context Book?

Install prerequisites: Go 1.26+, Node.js 22+, PostgreSQL 16+ with pgvector and pg_trgm extensions, and a Voyage AI API key. Set up the database, configure environment variables, then run go run ./cmd/api/main.go and go run ./cmd/mcp/main.go from the backend directory. Connect any MCP-compatible client by pointing it to http://localhost:8081/mcp, optionally run the frontend with npm run dev in the frontend directory. For Cursor, add the server URL to .cursor/mcp.json.

Key features of Context Book

Eight MCP tools: create/update/list/get books, insert/update/delete/search pages, and a readme tool.
Semantic search across all books using Voyage AI embeddings.
Automatic embedding generation on page insert or update.
OAuth 2.0 PKCE for the API server; Bearer token authentication for MCP tools.
Two separate servers: API (REST, port 8080) and MCP (port 8081).
Optional React frontend dashboard for managing books and pages.

Use cases of Context Book

Provide AI agents with a persistent knowledge base that survives conversation resets.
Avoid re-explaining project context, guidelines, or documentation to tools like Claude, Cursor, or Windsurf.
Organize information into named “books” with ordered “pages” for structured recall.
Perform semantic searches across all stored content to retrieve relevant context on demand.

常见问题

What are the runtime dependencies?

Go 1.26+, Node.js 22+, PostgreSQL 16+ with pgvector and pg_trgm extensions, and a Voyage AI API key.

How do I connect an AI client?

Point the MCP-compatible client to `http://localhost:8081/mcp`. For Cursor, add the server URL to `.cursor/mcp.json` as shown in the quick start.

What authentication is used?

The API server uses OAuth 2.0 PKCE. The MCP server requires a Bearer token per request, scoped to the authenticated user.

Where does data live and how is it indexed?

Data is stored in PostgreSQL with pgvector for semantic search and pg_trgm for text matching. Migrations run automatically on API server startup.

What transports and ports are used?

The API server listens on `:8080` for REST and the MCP server on `:8081` for the MCP protocol over HTTP.

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