Wikipedia MCP Server
by scotthelm
An MCP server that provides tools for interacting with the Wikipedia API. It allows AI assistants to access Wikipedia content, search for articles, get historical events, and retrieve images.
Last updated: N/A
What is Wikipedia MCP Server?
This server provides tools for interacting with the Wikipedia API through the Model Context Protocol (MCP). It enables AI assistants to access and utilize Wikipedia's vast knowledge base.
How to use Wikipedia MCP Server?
The server can be run directly using npx @shelm/wikipedia-mcp-server
or integrated programmatically into other projects. It communicates over stdio and can be configured for use with Claude or other MCP-compatible assistants. An example client is provided to demonstrate how to interact with the server.
Key features of Wikipedia MCP Server
onThisDay: Get historical events that occurred on a specific date
findPage: Search for Wikipedia pages matching a query
getPage: Get content of a Wikipedia page by title
getImagesForPage: Get images from a Wikipedia page by title
Use cases of Wikipedia MCP Server
Providing historical context to AI conversations
Answering user questions with Wikipedia content
Retrieving relevant images for AI-generated content
Enhancing AI knowledge bases with up-to-date information
FAQ from Wikipedia MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standard for AI assistants to interact with external tools and services.
How do I install the server?
How do I install the server?
You can install the server using npm install @shelm/wikipedia-mcp-server
.
How do I run the server?
How do I run the server?
You can run the server using npx @shelm/wikipedia-mcp-server
.
How do I use the server programmatically?
How do I use the server programmatically?
You can import the WikipediaServer
class and use its methods to interact with the Wikipedia API.
How do I configure the server for use with Claude?
How do I configure the server for use with Claude?
Add the server to your MCP configuration as shown in the README.