Gemini RAG MCP Server
Enables creation and querying of knowledge bases using Google's Gemini API File Search feature, allowing AI applications to upload documents and retrieve information through RAG (Retrieval-Augmented Generation).
Knowledge & Memory (RAG)
npm 0 platforms
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Install
npx -y @r_masseater/gemini-rag-mcp
Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
{
"mcpServers": {
"gemini-rag-mcp": {
"command": "npx",
"args": [
"-y",
"@r_masseater/gemini-rag-mcp"
],
"env": {
"PORT": "<PORT>",
"DEBUG": "<DEBUG>",
"LOG_LEVEL": "<LOG_LEVEL>",
"GEMINI_MODEL": "<GEMINI_MODEL>",
"GOOGLE_API_KEY": "<GOOGLE_API_KEY>",
"STORE_DISPLAY_NAME": "<STORE_DISPLAY_NAME>"
}
}
}
}Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.
