Wikipedia MCP Server
Provides capabilities to search for keywords and fetch specific page content from Wikipedia, allowing AI models to retrieve information and context from the online encyclopedia.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Wikipedia MCP Serversearch for the history of the Apollo 11 mission"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Wikipedia MCP Server
A Model Context Protocol server that provides capabilities to query Wikipedia. This server enables LLMs to get information from Wikipedia.
Available Tools
search- Searchkeywordon Wikipedia.Required arguments:
keyword(string): The search keywordlanguage(string): The language
fetch- Fetch Wikipedia page content.Required arguments:
id(integer): The pade IDlanguage(string): The language
Related MCP server: wikipedia-mcp
Installation
Using uv (recommended)
When using uv no specific installation is needed. We will
use uvx to directly run wikipedia-mcp.
Using PIP
Alternatively you can install wikipedia-mcp via pip:
pip install wikipedia-mcp-serverAfter installation, you can run it as a script using:
python -m wikipedia_mcpConfigurations
Using uvx
{
"mcpServers": {
"wikipedia-mcp": {
"command": "uvx",
"args": [
"wikipedia-mcp-server@latest"
]
}
}
}Using docker
{
"mcpServers": {
"wikipedia-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/progamesigner/wikipedia-mcp:latest"
]
}
}
}Using pip installation
{
"mcpServers": {
"wikipedia-mcp": {
"command": "python",
"args": [
"-m",
"wikipedia_mcp"
]
}
}
}Build
Docker build:
docker build -t wikipedia-mcp .Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- Flicense-qualityDmaintenanceProvides Claude with real-time access to Wikipedia through four essential tools: search articles, get full content, retrieve summaries, and find related articles. Enables comprehensive Wikipedia research workflows with structured data access and no API keys required.Last updated
- Alicense-qualityFmaintenanceEnables AI agents to search, read, and explore Wikipedia articles via tools like summaries, categories, and random articles, with no API keys required.Last updated1MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to access Wikipedia content, search articles, retrieve historical events, and fetch images through the Wikipedia API.Last updated41291MIT
- Flicense-qualityDmaintenanceProvides access to Wikipedia through 10 tools including search, article retrieval, summarization, and fact extraction, with multi-language support and robust error handling.Last updated
Related MCP Connectors
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
Gateway between LLM agents and world data through eight tools and a bundled endpoint catalog.
Search and fetch Wikidata entities, execute SPARQL queries, and resolve external identifiers.
Appeared in Searches
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/progamesigner/wikipedia-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server