MCP-Wikipedia-API-Server

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

FAQ from MCP-Wikipedia-API-Server

What dependencies are required?

The server requires fastapi, uvicorn, pyngrok, requests, wikipedia-api, and nest_asyncio.

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.