Gemini File Search vs Fetch
Side-by-side comparison of two Model Context Protocol servers. Pick the right one for Claude Desktop, Claude Code, or Cursor.
MCP server for Google's Gemini File Search and RAG (Retrieval-Augmented Generation). ## Features - Create and manage File Search stores - Upload documents…
Comparison
| Feature | Gemini File Search | Fetch |
|---|---|---|
| Pricing | Free | Free |
| Installs | — | 1 |
| Rating | — | — |
| Verified | — | |
| Hosted | Hosted | — |
| Tools | — | — |
| Category | ai | ai |
| Author | node2flow | Community |
| Repo | — | modelcontextprotocol/servers |
When to pick Gemini File Search
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
When to pick Fetch
Web content fetching and conversion for efficient LLM usage.
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