X's own hosted MCP server: full-archive post search, user and timeline lookup, trends, bookmarks and article drafting, under your account's permissions.

WikipediaMCP Server
Summary
Search and read Wikipedia from an AI client — summaries, full articles, specific sections, and nearby pages.
Features
- Search articles and read summaries or full text
- Target specific sections of long articles
- Find pages near a geographic location
Installation
Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.
Description
This MCP server gives an assistant structured access to Wikipedia, which remains one of the better sources for factual grounding on established topics.
What it offers
- Search across article titles and content
- Summaries — the lead section, which is usually the right level of detail
- Full article text when more depth is needed
- Section targeting, so a long article can be read partially rather than entirely, which matters for context budget
- Geographic search for pages near a set of coordinates
- Language selection across Wikipedia's editions
- Related pages and links for exploring a topic
Why bother when the model already knows
Two reasons. Currency — Wikipedia is updated continuously and training data is not. And verifiability — an answer with a Wikipedia citation can be checked, while an answer from parametric memory cannot.
It is also the cheapest way to reduce confident errors on the long tail of factual questions, where a model's recollection is thinnest.
Setup
No API key or account required. Runs with npx -y @cyanheads/wikipedia-mcp-server. Please respect Wikimedia's rate limits.
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