Schema | Gemini Embedding 2 MCP Server

Gemini Embedding 2 MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`GEMINI_API_KEY`	Yes	The Gemini API key from Google AI Studio

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
index_directoryB	Scans a local directory, extracts text from files (PDF, DOCX, TXT, MD) AND raw video/audio/image bytes, generates semantic embeddings using Gemini 2 and stores them for searching. Args: directory_path: Absolute path to the directory. ignore: Optional list of glob patterns to ignore (e.g., [".log", "drafts", "temp"]).
search_my_documentsC	Performs a semantic search over your previously indexed local documents AND images using the Gemini 2 Embedding model.
preview_directoryB	Summarizes what would be indexed before the server performs a full scan.
list_indexed_directoriesA	Lists indexed parent directories known to the database.
remove_directory_from_indexB	Removes all documents and images belonging to a specific directory path from the index.
sync_indexed_directoriesA	Auto-updates existing folders. It finds all unique parent directories of currently indexed files and re-indexes them to capture new or modified files.
get_result_contextC	Returns nearby chunks or pages for a previously indexed result.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
`get_database_stats`	Returns the scale and health of the ChromaDB index for Gemini.

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/AlaeddineMessadi/gemini-embedding-2-mcp-server'

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