librarian
An MCP server that enables LLMs to search, summarize, and retrieve detailed information from Wikipedia across multiple languages. It supports automated fact-checking by allowing models to proactively verify factual claims using Wikipedia's database.
README
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
<div align="center">
<img src="docs/Example1.png" alt="Claude Desktop Response" width="600">
Example of Claude Desktop using the librarian MCP server to fact-check information
</div>
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
<img src="docs/Example2.png" alt="Tools Available" width="600">
Screenshot showing the Wikipedia tools available in Claude Desktop when the MCP server is properly configured
MCP Servers Configuration
<img src="docs/Example3.png" alt="MCP Servers" width="600">
Claude Desktop showing the librarian MCP server successfully connected and available
VS Code Integration Example
<img src="docs/Example4.png" alt="VS Code Response" width="600">
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.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。