{"slug":"alaeddinemessadi/gemini-embedding-2-mcp-server","name":"gemini-embedding-2-mcp","description":"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.","category":"search","tags":[],"official":false,"stars":4,"transport":null,"install":[{"cmd":"uvx --from","imports":[]}],"tools":[{"name":"preview_directory","description":"Shows what will be indexed, grouped by modality and skip reason, before the scan runs."},{"name":"get_result_context","description":"Returns neighboring chunks or pages so agents can inspect exact source material after search."}],"env_vars":["GEMINI_API_KEY"],"auth_type":"none","github":"https://github.com/AlaeddineMessadi/gemini-embedding-2-mcp-server","homepage":"","server_url":"","status":"active","source":"mcpservers.org","updated_at":"Mon May 25"}