Gemini Enterprise MCP Server

Connect AI assistants to Discovery Engine for search, RAG, and datastore management.

License

Apache 2.0

Source

third_party_registry

Updated

2026-09-13

// securityCaution

Runs locally
Open source
Licensed· Apache 2.0

Running security audit…

Credentials
Network egress
Code execution
Data access
Supply chain

// install

Copy the install command and let the AI configure it · recommended for beginners

No copy-paste install info for "Gemini Enterprise MCP Server" yet — see the docs or source repo.

// examples

Integrate semantic search

Prompt

Use the Gemini Enterprise MCP Server to connect to Google Cloud Discovery Engine and enable semantic search for my internal knowledge base. First explain the required connection setup, then show an example query for "how to reset employee VPN".

Expected

Provides setup steps, required configuration details, and a sample semantic search call.

Build conversational RAG

Prompt

Using the Gemini Enterprise MCP Server, build a conversational RAG assistant on top of Discovery Engine with product documentation as the data source. Show the implementation approach, retrieval-QA flow, and an example response structure for the question "What access controls does the enterprise edition support?"

Expected

Returns a RAG architecture outline, QA flow design, and an example response format for a real query.

Manage datastore configuration

Prompt

Show how to manage Discovery Engine datastores, documents, and configurations through the Gemini Enterprise MCP Server, including typical actions for creating a datastore, updating documents, and checking index configuration status.

Expected

Provides step-by-step guidance or sample calls for common administration tasks to maintain the retrieval system.