About MCP-Wikipedia-API-Server
MCP-Wikipedia-API-Server is a FastAPI-based MCP server for AI assistants that retrieves Wikipedia summaries from queries. It is set up to run in Google Colab and expose the server through Ngrok.
Key features
- 01Fetch Wikipedia summaries from queries
- 02FastAPI-based MCP server
- 03Google Colab deployment
- 04Ngrok exposure
Use cases
- 01Retrieve Wikipedia context for AI interactions
- 02Run a Wikipedia summary server from Google Colab
MCP support
It provides an MCP server that lets AI clients request Wikipedia summaries.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP-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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.