Geppetto-Robot-Directory
vlatest
MCP Serversmithery5k
io.smithery.node2flow.gemini-file-search-rag · vlatest
MCP server for Google's Gemini File Search and RAG (Retrieval-Augmented Generation). ## Features - Create and manage File Search stores - Upload documents (text, PDF, base64) with custom metadata and chunking config - Import existing Gemini files into stores - Track upload/operation status - Query documents using RAG with model selection and metadata filtering ## 12 Tools **Store Management**: create, list, get, delete stores **Upload & Import**: upload content directly or import existing files **Operations**: check status of store/upload operations **Documents**: list, get, delete documents in stores **RAG Query**: query documents with Gemini models (supports metadata filters) ## Configuration - GEMINI_API_KEY — Get one at https://aistudio.google.com/apikey
热度数据
Gemini File Search 是一个MCP Server，收录自 smithery。支持 streamable-http 传输。本页提供 Cursor、Claude Code 等客户端的安装配置片段。
选择你的平台查看安装方式
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}io.smithery.hello-oipe.Geppetto-Robot-Directory
Query the world's robot directory — 812 robots across 30 categories and 319 brands. Tools: search_robots (by category, brand, price, use case), get_robot and get_robot_full (complete specs), compare_robots (side-by-side diff), get_category, and get_job_automation_risk (robot displacement scores for 240+ professions — data available nowhere else). All reads public, no auth.
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"description": "MCP server for Google's Gemini File Search and RAG (Retrieval-Augmented Generation).\n\n ## Features\n - Create and manage File Search stores\n - Upload documents (text, PDF, base64) with custom metadata and chunking config\n - Import existing Gemini files into stores\n - Track upload/operation status\n - Query documents using RAG with model selection and metadata filtering\n\n ## 12 Tools\n\n **Store Management**: create, list, get, delete stores\n **Upload & Import**: upload content directly or import existing files\n **Operations**: check status of store/upload operations\n **Documents**: list, get, delete documents in stores\n **RAG Query**: query documents with Gemini models (supports metadata filters)\n\n ## Configuration\n - GEMINI_API_KEY — Get one at https://aistudio.google.com/apikey",
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