MCP.Market

Gemini MCP server

by houtini-ai·io.github.houtini-ai/gemini·v2.10.1·34 stars
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Model Context Protocol server for Google Gemini AI with chat, research, and grounding

A85/100grade A
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Safety scan
A85/100

full report

Adoption
Established

34 stars5.3k downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Gemini tools (8)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • analyze_image

    Analyze and extract information from one or more images using Gemini multimodal understanding.

  • describe_image

    Analyze and describe one or more images using Gemini multimodal understanding.

  • gemini_chat

    Chat with Google Gemini models

  • gemini_deep_research

    Conduct deep research on complex topics using iterative multi-step analysis with Gemini.

  • gemini_help

    Get comprehensive help about Gemini MCP features, settings, and best practices

  • gemini_list_models

    List available Gemini models and their descriptions

  • gemini_prompt_assistant

    Get expert prompt templates and guidance for Gemini image generation.

  • load_image_from_path

    Read a local image file and return it as base64-encoded data ready to pass to

Public scan report

scanner v0.1.10 · 2026-11-01 · same rubric, same numbers if you re-run it

no findings
  • Code scan105 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 2 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Gemini compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 75% of 4,456 AI and agents servers
Tools
8
the typical AI and agents server has 7
Tools that change things
0%
typical: 3%. Fewer write tools means less an agent can break
GitHub stars
34
more than 91% of 2,733 AI and agents servers
Downloads a week
5,335
more than 95% of 1,712 AI and agents servers with a package

What its tools let an agent do: 8 read

Release history: 8 versions in the registry since 2026-08-08, latest 2026-10-24, typically one every 8 days.

Install Gemini in Claude Code, Cursor or VS Code

Runs npx -y @houtini/gemini-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add gemini -- npx -y @houtini/gemini-mcp
Add to Cursor

What the publisher says

From the Gemini repository's README, as published. We do not edit it. Read it on GitHub

Gemini MCP - Google Gemini image generation, video and search grounding inside Claude

I've been running this Gemini MCP server in my Claude Desktop setup for months. It's one of the few I leave on permanently — not because Gemini replaces Claude, but because grounded search, image generation, SVG diagrams, and video are things Gemini does well. Having them as tools inside Claude beats switching browser tabs.

Thirteen tools, covering the models people actually come looking for: Nano Banana Pro (gemini-3-pro-image-preview) for image generation, Veo 3.1 for video with synchronised audio, and Gemini 3.1 Pro for chat and deep research with Google Search grounding. Images, SVGs and video preview inline in Claude Desktop through MCP Apps rather than landing as a file path you have to go and open.

One npx command.

Quick Navigation

Get started | What it does | SVG generation | Image output | Configuration | Tools | Models | Requirements

What it looks like

Generated images, SVGs, and videos render inline in Claude Desktop with zoom controls, file paths, and prompt context:

Get started in two minutes

Step 1: Get a Gemini API key

Go to Google AI Studio and create one. The free tier covers most development use — you'll hit rate limits on deep research if you're hammering it, but for day-to-day work it's fine.

Step 2: Add to your Claude Desktop config

Config file locations:

  • Windows: C:\Users\{username}\AppData\Roaming\Claude\claudedesktopconfig.json
  • macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json
{
  "mcpServers": {
    "gemini": {
      "command": "npx",
      "args": ["@houtini/gemini-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

Step 3: Restart Claude Desktop

That's it. Tools show up automatically. npx pulls the package on first run — no separate install needed.

Local build instead

For development, or if you'd rather not rely on npx:

git clone https://github.com/houtini-ai/gemini-mcp
cd gemini-mcp
npm install --include=dev
npm run build

Then point your config at the local build:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Gemini: common questions

Is Gemini MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Gemini safety report
How do I install Gemini?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Gemini need an API key?
Yes. The registry entry asks for GEMINI_API_KEY.
Is Gemini maintained?
The last commit was 16 days ago (2026-10-31). The latest release is v2.10.1.
What can I use instead of Gemini?
Servers from other publishers that do the same job: Agent-Native Slides MCP server and Alibaba Cloud DashScope — Qwen MCP server.
How does Gemini compare with other AI and agents MCP servers?
safety score 85/100 (higher than 75% of 4,456 AI and agents servers); tools 8 (the typical AI and agents server has 7); tools that change things 0% (typical: 3%. Fewer write tools means less an agent can break). Full comparison.

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