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MCP Blog Project

@thappatan

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その他

トランスポート

stdio

作者

thappatan

MCP Blog Project について

This is my Example of MCP Server for connect to books service, for my blog

#mcp#blog#service

MCP Blog Project の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "MCP-Books-Service": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

MCP Blog Project のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Blog Project?

MCP Blog Project demonstrates the implementation of the Model Context Protocol (MCP) in a blog application system. It consists of three components—a TypeScript MCP server, an Express mock service for book data, and a Python client that integrates with a local language model via Ollama—that together enable structured data operations through natural language queries.

How to use MCP Blog Project?

Start the mock service (cd books-mock-service && npm run dev), then in a separate terminal run the Python client (cd mcp-client && python client.py). Enter queries when prompted; type exit to quit.

Key features of MCP Blog Project

  • TypeScript MCP server using @modelcontextprotocol/sdk
  • Express.js mock service for book data
  • Python client with langchain_ollama for LLM integration
  • Interactive CLI interface for querying
  • Runs on stdio transport layer
  • Entirely local setup (requires Ollama)

Use cases of MCP Blog Project

  • Demonstrate MCP integration in a blog-style application
  • Query book information using natural language through an LLM
  • Prototype an MCP-based client-server architecture
  • Extend the mock service to test additional data operations

よくある質問

1

What dependencies are required?

Node.js, npm, Python 3.x, and Ollama for local LLM support. The MCP server and mock service need npm packages; the client needs `langchain-ollama` and `mcp-use`.

2

How does the MCP server communicate?

It uses the stdio transport layer defined by the Model Context Protocol. The server handles protocol messages between the Python client and the Express mock service.

3

Where does the data come from?

Data is provided by the books-mock-service, a lightweight Express.js server with mock endpoints for book-related operations. It runs locally and can be extended.

4

Can I modify the mock service?

Yes. Add new routes in `books-mock-service/server.js`. The MCP server (TypeScript) can be extended by editing files in `books-mcp-server/src` and rebuilding.

5

What LLM does the client use?

The client uses Ollama via `langchain_ollama`, allowing you to run a local language model. The LLM configuration can be customized in `mcp-client/client.py`.

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