What dependencies are required?
The server requires `fastapi`, `uvicorn`, `pyngrok`, `requests`, `wikipedia-api`, and `nest_asyncio`.
MCP Wikipedia API Server
@Rishavv007
基本信息
关于 MCP Wikipedia API Server
A FastAPI-MCP server that fetches Wikipedia summaries for AI assistants, deployed using Google Colab and Ngrok.
MCP Wikipedia API Server 配置
MCP Wikipedia API Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is MCP-Wikipedia-API-Server?
It is a FastAPI-MCP server that fetches Wikipedia summaries for AI assistants, deployed using Google Colab and Ngrok. It implements the Model Context Protocol to allow AI assistants to query Wikipedia via an MCP-compatible interface.
How to use MCP-Wikipedia-API-Server?
Install required dependencies in a Google Colab cell (!pip install fastapi uvicorn pyngrok requests wikipedia-api nest_asyncio), then authenticate Ngrok (!ngrok config add-authtoken <YOUR_TOKEN>) to expose the server.
Key features of MCP-Wikipedia-API-Server
- Fetches Wikipedia summaries based on user queries
- Runs as an MCP-compatible server for AI interactions
- Built with FastAPI and the Wikipedia API
- Deployed using Google Colab + Ngrok
Use cases of MCP-Wikipedia-API-Server
- AI assistants retrieving quick Wikipedia summaries for user questions
- Developers prototyping MCP servers with minimal infrastructure
- Educational projects demonstrating MCP + FastAPI + Ngrok integration
常见问题
How is the server deployed?
It runs inside a Google Colab notebook and is exposed to the internet via an Ngrok tunnel.
What protocol does the server use?
It uses the Model Context Protocol (MCP) over HTTP, implemented with FastAPI.
Can it be used outside Google Colab?
The README only documents deployment via Google Colab; no alternative setup is described.
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