@ndjordjevic
基本信息
PinRAG is a retrieval-augmented generation (RAG) MCP server built with LangChain and Chroma. Index PDFs, plain text, Discord exports, YouTube transcripts, and GitHub repositories, then ask questions in Cursor, VS Code (Copilot), or any MCP-capable client. Answers include citation
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"pinrag": {
"command": "uvx",
"args": [
"--from",
"pinrag",
"pinrag-mcp"
],
"env": {
"OPENAI_API_KEY": "your-openai-api-key"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
PinRAG is a Retrieval-Augmented Generation (RAG) server that indexes scattered learning materials—PDFs, ebooks, GitHub repos, YouTube videos, Discord discussions, and plain notes—into a shared index. It exposes MCP tools for adding, querying, listing, and removing documents, and returns answers with citations from sources. It is built with LangChain and Chroma, and is for users of Cursor, VS Code (GitHub Copilot), or any MCP-capable assistant.
Install uv and ensure uvx is on your PATH, then add PinRAG as an MCP server in your editor's mcp.json file with the command uvx --refresh pinrag and required environment variables (OPENROUTER_API_KEY, PINRAG_PERSIST_DIR). In chat, use tools like add_document_tool to index files or URLs, query_tool to ask questions, and list_documents_tool to review indexed documents.
Install uv and ensure `uvx` is on PATH; no prior `pip install` needed. Optional extras: `pinrag[vision]` for YouTube vision with OpenAI/Anthropic, `pinrag[rerank]` for FlashRank, and ffmpeg for frame-based vision.
PinRAG uses `youtube-transcript-api`; for IP blocks, set `PINRAG_YT_PROXY_HTTP_URL` and `PINRAG_YT_PROXY_HTTPS_URL` in MCP env. Residential or rotating proxies are recommended.
Set `PINRAG_PERSIST_DIR` to a stable absolute path in MCP env (e.g., `~/.pinrag/chroma_db`). The vector store uses this directory and does not depend on the server process cwd.
Set a `GITHUB_TOKEN` in MCP env (or shell) with repo read access. Small public repos may work without a token, but rate limits may apply.
PinRAG operates over MCP stdio transport by default; tools, resources, and prompts are communicated via JSON over stdout/stderr.
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