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elkalowkey885

gemini-embedding-2-mcp-server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
FOLDER_PATHYesPath to the local folder to index
GEMINI_API_KEYYesYour Gemini API key for embedding

Instructions

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.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
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_documentsB

Performs a semantic search over your previously indexed local documents AND images using the Gemini 2 Embedding model.

list_indexed_directoriesB

Lists all the file paths that have been indexed in the database.

remove_directory_from_indexC

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.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
get_database_statsReturns the scale and health of the ChromaDB index for Gemini.

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