MCP-Wikipedia-API-Server
by Rishavv007
A FastAPI-MCP server that fetches Wikipedia summaries for AI assistants. It is deployed using Google Colab and Ngrok.
Last updated: N/A
What is MCP-Wikipedia-API-Server?
This is a Model Context Protocol (MCP) server built with FastAPI that retrieves Wikipedia summaries based on user queries. It's designed to be used by AI assistants to provide context and information.
How to use MCP-Wikipedia-API-Server?
To use this server, first deploy it on Google Colab following the instructions in the README. Install the required dependencies using pip install fastapi uvicorn pyngrok requests wikipedia-api nest_asyncio. Then, authenticate Ngrok using ngrok config add-authtoken YOUR_TOKEN. After deployment, AI assistants can send queries to the server's endpoint to receive Wikipedia summaries.
Key features of MCP-Wikipedia-API-Server
Fetches Wikipedia summaries based on user queries
Runs as an MCP-compatible server
Uses FastAPI and Wikipedia API
Works with Google Colab + Ngrok for quick deployment
Use cases of MCP-Wikipedia-API-Server
Providing context to AI assistant responses
Answering user questions with Wikipedia information
Integrating Wikipedia knowledge into AI applications
Building AI-powered research tools
FAQ from MCP-Wikipedia-API-Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol for AI interactions.
What is FastAPI?
What is FastAPI?
FastAPI is a modern, high-performance web framework for building APIs with Python.
Why use Google Colab?
Why use Google Colab?
Google Colab provides a free and easy way to run Python code in the cloud.
Why use Ngrok?
Why use Ngrok?
Ngrok allows you to expose a local server to the internet, making it accessible to AI assistants.
How do I get a Wikipedia API key?
How do I get a Wikipedia API key?
This server uses the wikipedia-api library which does not require an API key.