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Manage Gemini file-search knowledge stores and run RAG-based document queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "gemini-file-search-rag-mcp" yet — see the docs or source repo.
Use the Gemini File Search MCP to create a new file-search store, upload these 5 product manuals, and build a searchable index. Then answer: Which third-party integrations does this product support? Include citations.
Returns the created search store details, document ingestion status, and a citation-grounded answer based on the uploaded files.
Upload this batch of PDF papers into the same Gemini File Search knowledge store and organize them for retrieval. Then answer: What are the main research directions in multimodal RAG over the past three years? Summarize them in bullet points.
Provides upload and indexing results, then delivers a theme-based research summary grounded in retrieved paper content.
Check the current file list in the Gemini File Search store, remove duplicate or outdated documents, and keep only the latest versions. Then tell me which valid files remain in the store.
Returns the current knowledge base file list, cleanup actions performed, and the final status of retained files.
Use Gemini CLI for search, chat, session management, and file analysis.
Use natural language to calculate and read or write files.
Enable AI assistants to search, chat, and analyze files through Gemini CLI.
Connect AI assistants to Discovery Engine for search, RAG, and datastore management.
Enable AI agents to search the live web with Gemini for free.
Expose local Gemini CLI as an MCP server for prompting, search, and file ops.