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gemini-embedding-2-mcp

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none4search

A powerful Model Context Protocol (MCP) server using gemini embedding 3 that transforms any local directory into an ultrafast, visually-aware spatial search engine for AI agents.

Install
How to run this server
[ { "cmd": "uvx --from", "imports": [] } ]
server path: gemini-embedding-2-mcp
Tools
What this server exposes
preview_directory
Shows what will be indexed, grouped by modality and skip reason, before the scan runs.
get_result_context
Returns neighboring chunks or pages so agents can inspect exact source material after search.
Configuration
Environment & auth
authnone
envGEMINI_API_KEY
Resources
gemini-embedding-2-mcp — MCP Server · libregistry