加载中…
MCP RAG: index PDFs, repos, YouTube, Discord, text; optional YouTube vision; query with citations.
PinRAG 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 67/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。 在将 PinRAG 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
uvx pinrag==0.9.27运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-04-09T11:16:32.307132Z",
"publishedAt": "2026-04-09T11:16:32.307132Z",
"statusChangedAt": "2026-04-09T11:16:32.307132Z"
}
},
"server": {
"name": "io.github.ndjordjevic/pinrag",
"title": "PinRAG",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.9.27",
"packages": [
{
"version": "0.9.27",
"transport": {
"type": "stdio"
},
"identifier": "pinrag",
"runtimeHint": "uvx",
"registryType": "pypi",
"runtimeArguments": [
{
"type": "positional",
"value": "--refresh"
},
{
"type": "positional",
"value": "pinrag"
}
],
"environmentVariables": [
{
"name": "OPENROUTER_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "OpenRouter API key — required for the default chat LLM (PINRAG_LLM_PROVIDER defaults to openrouter). Get a key at openrouter.ai."
},
{
"name": "PINRAG_PERSIST_DIR",
"format": "string",
"description": "Absolute path to the Chroma vector store directory (recommended so indexes are not tied to the server process cwd)."
}
]
}
],
"repository": {
"url": "https://github.com/ndjordjevic/pinrag",
"source": "github"
},
"description": "MCP RAG: index PDFs, repos, YouTube, Discord, text; optional YouTube vision; query with citations."
}
}