
MCP-Wikipedia-API-Server
A FastAPI-MCP server that fetches Wikipedia summaries for AI assistants, deployed using Google Colab and Ngrok.
what is MCP-Wikipedia-API-Server?
MCP-Wikipedia-API-Server is a FastAPI-based server that fetches Wikipedia summaries for AI assistants, enabling them to provide quick and relevant information.
how to use MCP-Wikipedia-API-Server?
To use the server, deploy it on Google Colab, authenticate Ngrok, and then send queries to fetch Wikipedia summaries.
key features of MCP-Wikipedia-API-Server?
- Fetches Wikipedia summaries based on user queries
- Runs as an MCP-compatible server for AI interactions
- Utilizes FastAPI and Wikipedia API
- Quick deployment using Google Colab and Ngrok
use cases of MCP-Wikipedia-API-Server?
- Enabling AI assistants to provide instant Wikipedia information
- Assisting in research by fetching relevant summaries
- Enhancing user interactions with AI through informative responses
FAQ from MCP-Wikipedia-API-Server?
- Can this server handle multiple queries at once?
Yes! The server is designed to handle multiple requests efficiently.
- Is there a limit to the number of summaries fetched?
No, you can fetch as many summaries as needed, subject to Wikipedia's API usage policies.
- Do I need to pay for using Google Colab and Ngrok?
Both services offer free tiers, but usage limits may apply.
MCP-Wikipedia-API-Server
A FastAPI-MCP server that fetches Wikipedia summaries for AI assistants, deployed using Google Colab and Ngrok. This project implements a Model Context Protocol (MCP) server using FastAPI to allow AI assistants to fetch Wikipedia summaries. The server is deployed on Google Colab and exposed via Ngrok.
Features
Fetches Wikipedia summaries based on user queries
Runs as an MCP-compatible server for AI interactions
Uses FastAPI and Wikipedia API
Works with Google Colab + Ngrok for quick deployment
How to Run in Google Colab
Install Required Dependencies
Run this command in a Colab cell:
!pip install fastapi uvicorn pyngrok requests wikipedia-api nest_asyncio
Authenticate Ngrok
Run this command in a Colab cell:
!ngrok config add-authtoken YOUR_TOKEN