MCP server for XenoDocs - Access up-to-date documentation for newly released packages using AI.
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# XenoDocs MCP - Up-to-date Documentation For Any Library [](https://xenodocs.com) [](https://pypi.org/project/xenodocs-mcp-server/) [](./LICENSE) ## ❌ Without XenoDocs LLMs rely on outdated or generic information about the libraries you use. You get: - ❌ Code examples are outdated and based on year-old training data - ❌ Hallucinated APIs that don't even exist - ❌ Generic answers for old package versions ## ✅ With XenoDocs XenoDocs MCP pulls up-to-date, version-specific documentation and code examples straight from the source — and places them directly into your prompt. Tell your AI assistant to search for library documentation: ```txt Search for "authentication middleware" in the FastAPI library documentation ``` ```txt Find examples of async functions in the httpx library ``` XenoDocs fetches up-to-date code examples and documentation right into your LLM's context. - 1️⃣ Write your prompt naturally - 2️⃣ Ask for specific library documentation - 3️⃣ Get working code answers No tab-switching, no hallucinated APIs that don't exist, no outdated code generation. ## �️ Installation ### Requirements - Python >= 3.10 - VS Code, Cursor, Claude Desktop, or another MCP Client - XenoDocs API Key (Get yours by creating an account at [xenodocs.com/account/api-keys](https://www.xenodocs.com/account/api-keys) ### Method 1: Using uv (Recommended) ```bash uv add xenodocs-mcp-server ``` ### Method 2: Using pip ```bash pip install xenodocs-mcp-server ``` <details> <summary><b>Install in VS Code</b></summary> Add this to your VS Code MCP config file (`.vscode/mcp.json`). See [VS Code MCP docs](https://code.visualstudio.com/docs/copilot/chat/mcp-servers) for more info. #### VS Code Local Server Connection ```json { "servers": { "xenodocs-mcp-server": { …
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