Loading…
把知识库变成可被 MCP 调用的检索服务 —— 单二进制、中文友好的 RAG 知识处理层 Turn your knowledge base into an MCP-callable retrieval service — a single-binary, Chinese-friendly knowledge processing layer for RAG.
langhuan is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 45/100. 把知识库变成可被 MCP 调用的检索服务 —— 单二进制、中文友好的 RAG 知识处理层 Turn your knowledge base into an MCP-callable retrieval service — a single-binary, Chinese-friendly knowledge proce. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding langhuan to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/amoydavid/langhuan.gitReview the upstream source before running this command.
Scan coverage: Install metadata and repository README.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
{
"fullName": "amoydavid/langhuan"
}把知识库变成可被 MCP 调用的检索服务 —— 单二进制、中文友好的 RAG 知识处理层 Turn your knowledge base into an MCP-callable retrieval service — a single-binary, Chinese-friendly knowledge processing layer for RAG.