Connect LLMs to Wikipedia Data
MCP server that retrieves Wikipedia articles, summaries, sections, links, and coordinates to provide AI assistants with factual information from 140+ countries.
Why it matters
Empower AI assistants with factual information from Wikipedia. This MCP server enables large language models to access and cite reliable sources, enhancing the accuracy and trustworthiness of AI-generated responses.
Outcomes
What it gets done
Search Wikipedia articles by query.
Retrieve full article content and summaries.
Extract structured data like sections, links, and coordinates.
Support multilingual and multi-region Wikipedia access.
Install
Add it to your toolbox
Capabilities
Tools your agent gets
Search Wikipedia articles by query with optional result limit
Retrieve full Wikipedia article content including text, summary, sections, links, and categories
Retrieve a brief summary of a Wikipedia article
Retrieve sections of a Wikipedia article in a structured list
Retrieve links contained in a Wikipedia article to other articles
Retrieve coordinates of a Wikipedia article with latitude, longitude, and metadata
Retrieve topics related to a Wikipedia article based on links and categories
Retrieve a Wikipedia article summary adapted to a specific query
Overview
Connect LLMs to Wikipedia Data
What it does
Wikipedia MCP Server
How it connects
when you need to provide AI assistants with factual Wikipedia content
Trust
How it checks out
Discussion
Questions & comments · 0
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