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Gemini MCP servers

MCP servers that connect an AI agent to Gemini: Gemini models, prompts and grounded generation. We have classified 189 so far, listed below and ranked by their independent trust score.

189 catalogued · how we score

Gemini at a glance

Highest score
95 Code Lens
Median score
72
Scored
189 of 189
Rescanned in 7 days
185

remote 111 · npm 70 · pypi 12 · mcpb 3 · oci 3 · figures as of 2026-09-20 13:30 UTC · how we score

Top 100 by trust score Trust score 0–100

Every server here has been scored. A server is listed here because its description and tool definitions say it is built for Gemini. That is what the server declares about itself, not an integration we have tested, so check the score breakdown before you trust one. This classification currently runs only over servers that publish a hosted endpoint, so a Gemini server distributed solely as an installable package will not appear here yet, however clearly it belongs. Treat the ranking as a partial field rather than the whole one.

Common questions

What is a Gemini MCP server?

A Gemini MCP server exposes Gemini models, prompts and grounded generation to an AI assistant over the Model Context Protocol, so the assistant can work with Gemini directly instead of you moving data in and out by hand. These come from the public MCP registry, and being listed there is not a review of the code, so the publisher is worth checking as closely as the feature list.

How do I get started with a Gemini MCP server?

Start from the ranked list on this page, then open a server's own page and read its score breakdown before you install anything. Every server listed here is a hosted endpoint, so that breakdown covers Endpoint Security, Transport & Reachability, Schema Quality & AI Usability, Stability & Change Management, Tool Coverage, Tool Safety and Capabilities. A Gemini server acts on your Gemini data, so check what access it asks for before you connect it. The same page carries install snippets for the common MCP clients.