Librarian
A server to query Wikipedia and automatically fact-check information for any LLM with a compatible MCP client.
librarian
Librarian is a MCP (Model Context Protocol) Server that allows any LLM with a compatible MCP client to query Wikipedia for information. It can be configured to automatically fact-check information without requiring explicit user requests.
Note: While this guide focuses on Claude Desktop setup, Librarian also supports remote hosting via WebSocket/HTTP for broader accessibility.
"The only thing that you absolutely have to know is the location of the library."
— Albert Einstein
Example of Claude Desktop using the librarian MCP server to fact-check information
Features
- Automatic Fact-Checking: Configure Claude Desktop to proactively verify factual claims using Wikipedia
- Wikipedia Search: Search for relevant Wikipedia articles
- Page Information: Get detailed information about specific Wikipedia pages
- Page Summaries: Quick summaries of Wikipedia pages
- Page Sections: Get specific sections from Wikipedia pages
- Multi-language Support: Query Wikipedia in different languages
Installation
Claude Desktop Setup
1. Prerequisites
- Claude Desktop installed on your computer
- uv package manager installed
- Python 3.13 or higher
2. Clone and Set Up the Project
git clone <your-repository-url>
cd librarian
uv sync
3. Configure Claude Desktop
Add this configuration to your Claude Desktop configuration file:
Windows: %APPDATA%\Claude\claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json
For Windows:
{
"mcpServers": {
"librarian": {
"command": "C:\\Users\\[USERNAME]\\.local\\bin\\uv.exe",
"args": ["--directory", "C:\\Users\\[USERNAME]\\path\\to\\librarian", "run", "python", "librarian_stdio.py"],
"env": {
"PYTHONPATH": "C:\\Users\\[USERNAME]\\path\\to\\librarian"
}
}
}
}
For macOS/Linux:
{
"mcpServers": {
"librarian": {
"command": "uv",
"args": ["--directory", "/path/to/your/librarian", "run", "python", "librarian_stdio.py"],
"env": {
"PYTHONPATH": "/path/to/your/librarian"
}
}
}
}
Important:
- Replace
[USERNAME]and/path/to/your/librarianwith your actual paths - The
--directoryflag ensures uv uses the correct project environment - Use the full path to
uv.exeon Windows for reliability
4. Restart Claude Desktop
After adding the configuration, restart Claude Desktop completely to load the MCP server.
5. Troubleshooting
If you encounter issues:
-
Check Claude Desktop logs:
- Windows:
%AppData%\Claude\logs\mcp-server-librarian.log - macOS:
~/Library/Logs/Claude/mcp-server-librarian.log
- Windows:
-
Common issues:
ModuleNotFoundError: Ensure you're using the--directoryflag and correct pathsFile not found: Use absolute paths for bothcommandand inargsVirtual environment warnings: These are harmless but can be avoided with proper paths
-
Test manually:
cd /path/to/librarian uv run python librarian_stdio.py # Should start without errors
Automatic Fact-Checking Setup
To make Claude Desktop automatically use Wikipedia for fact-checking, start your conversations with:
"Use your Wikipedia tools to automatically fact-check any factual claims in our conversation. Don't wait for me to ask - proactively verify information and provide corrections when needed."
Or use the built-in system prompt by referencing: fact_checking_instructions
Behavior Examples
Once configured, Claude Desktop will automatically:
- ✅ Verify historical dates and events
- ✅ Check biographical information
- ✅ Confirm scientific facts and discoveries
- ✅ Validate geographical information
- ✅ Correct common misconceptions
- ✅ Provide source attribution from Wikipedia
Available Tools
- search_wikipedia_pages: Search for Wikipedia articles on any topic and return the top 5 results with selection information
- get_wikipedia_page_info: Get comprehensive information about a specific page including content, summary, hyperlinked words, and categories
- get_wikipedia_page_summary: Get quick summaries of Wikipedia pages with customizable sentence length
- get_wikipedia_page_sections: Get a list of all sections on a Wikipedia page for large pages where you need specific information
- get_wikipedia_page_sections_info: Get detailed content for specific sections of a Wikipedia page by title or index
All tools support multi-language Wikipedia queries by specifying the language parameter (default: "en").
Examples
Available Tools in Claude Desktop
Screenshot showing the Wikipedia tools available in Claude Desktop when the MCP server is properly configured
MCP Servers Configuration
Claude Desktop showing the librarian MCP server successfully connected and available
VS Code Integration Example
Example of using the librarian tools within VS Code with GitHub Copilot
License
This project is open source. Please check the license file for details.
Serveurs connexes
MCP Gemini Google Search
Performs Google searches using Gemini's built-in Grounding with Google Search feature.
ThreatBook Threat Analysis
Provides threat intelligence queries for IPs, domains, files, URLs, and vulnerabilities using the ThreatBook API.
USGS Quakes
Access earthquake data from the USGS Quakes API using natural language queries.
MCP Deep Search
A server for performing deep web searches using the @just-every/search library, requiring API keys via an environment file.
Google Research
Perform advanced web research using Google Search, with intelligent content extraction and multi-source synthesis.
arXiv Research Assistant
Interact with the arXiv.org paper database. Supports keyword search, paper lookups, author searches, and trend analysis.
MCP-SearXNG-Enhanced Web Search
An enhanced MCP server for SearXNG web searching, utilizing a category-aware web-search, web-scraping, and includes a date/time retrieval tool.
Manalink MCP Server
An MCP server implementation for Manalink that allows AI assistants to use functions like teacher search.
wikipedia
A minimal MCP server for interacting with Wikipedia. It provides simple tools to search for articles and retrieve full content, making it easy for AI agents to access reliable, structured knowledge.
Splunk
Interact with Splunk Enterprise/Cloud using natural language queries.