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MCP Gemini

by danjam

MCP Gemini

An MCP server that lets AI assistants use Google's Gemini models. Generate text, analyze images, review code, and more — with support for multi-turn conversations and web-grounded answers.

Works with Claude Desktop, Claude Code, or any MCP-compatible client.


Use Cases

  • Get a second opinion on code reviews

  • Analyze screenshots or diagrams

  • Summarize or translate long documents

  • Have multi-turn conversations with Gemini for brainstorming

  • Get up-to-date answers with Google Search grounding

  • Generate structured JSON for use in other tools


Related MCP server: Gemini Gen MCP

Setup

Requires Node.js 18+.

1. Get a Gemini API Key

Go to Google AI Studio and create an API key.

2. Configure Your MCP Client

Add the server to your MCP client's configuration. There are two ways to do this:

Option A: Run directly from GitHub (no install needed)

{
  "mcpServers": {
    "gemini": {
      "command": "npx",
      "args": ["-y", "github:danjam/mcp-gemini"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

Option B: Clone and run locally

git clone https://github.com/danjam/mcp-gemini.git
cd mcp-gemini
npm install

Then point your MCP client at the local build:

{
  "mcpServers": {
    "gemini": {
      "command": "node",
      "args": ["/path/to/mcp-gemini/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

Replace /path/to/mcp-gemini with the actual path where you cloned the project.

Changing the Default Model

By default, the server uses gemini-flash-latest. To change this, add GEMINI_DEFAULT_MODEL to your environment:

"env": {
  "GEMINI_API_KEY": "your-api-key-here",
  "GEMINI_DEFAULT_MODEL": "gemini-pro-latest"
}

What You Can Do

Generate Text

Ask Gemini to write, answer questions, summarize, translate, or anything else text-based.

Tool: generate_text

Parameter

Type

Required

Description

prompt

string

Yes

What you want Gemini to do

model

string

No

Which model to use

systemInstruction

string

No

Set the tone or role (e.g. "You are a helpful tutor")

temperature

number

No

How creative the response is (0 = focused, 2 = creative). Default: 0.7

maxTokens

number

No

Limit the response length. Default: 2048

grounding

boolean

No

Let Gemini search the web for up-to-date answers

conversationId

string

No

Continue a multi-turn conversation (see below)

jsonMode

boolean

No

Get the response as structured JSON

jsonSchema

object

No

Define the exact shape of the JSON response

safetySettings

array

No

Adjust content filtering thresholds

Analyze Images

Send an image and ask questions about it — describe what's in a photo, read text from a screenshot, identify objects, and more. Provide either imageUrl or imageBase64.

Tool: analyze_image

Parameter

Type

Required

Description

prompt

string

Yes

Your question about the image

imageUrl

string

No

URL of the image to analyze

imageBase64

string

No

Base64-encoded image (with or without data URI prefix)

model

string

No

Which model to use

List Models

See all available Gemini models. No parameters needed.

Tool: list_models

Code Review

Review a code diff for bugs, style issues, security concerns, and improvements. Uses low temperature (0.3) for focused, consistent feedback.

Tool: code_review

Parameter

Type

Required

Description

diff

string

Yes

The code diff or code to review

context

string

No

Focus areas or additional context (e.g. "focus on security")

model

string

No

Which model to use

maxTokens

number

No

Limit the response length. Default: 4096

Note: Use list_models to see available models, or pass any model name directly. Pro models aren't available on the free tier — if you see a quota error, switch to a Flash model or upgrade your plan.


Conversations

You can have multi-turn conversations where Gemini remembers what was said before. Pass the same conversationId across multiple generate_text calls:

  1. First message: { "prompt": "What is photosynthesis?", "conversationId": "chat-1" }

  2. Follow-up: { "prompt": "Explain it to a 5-year-old", "conversationId": "chat-1" }

Gemini will remember the first message when answering the follow-up.

Conversations expire after 30 minutes of inactivity.


License

MIT

A
license - permissive license
-
quality - not tested
F
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

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