# Gemini Collaboration

> Use this tool when you need to enhance code development, review, and problem-solving tasks through collaborative AI workflows. Gemini Collaboration enables direct collaboration between Claude Code and Google's Gemini AI, providing general question answering, code review, and brainstorming sessions with configurable focus areas and temperature control. It is ideal for developers seeking to leverage the strengths of multiple AI models in a single workflow, balancing factual accuracy and creativity.

Canonical page: https://skillsregistry.net/skills/raiansar-claude-gemini-collaboration  
JSON: https://api.skillsregistry.net/v1/skills/raiansar-claude-gemini-collaboration

## Description

This MCP server enables Claude Code to collaborate directly with Google's Gemini AI through three specialized tools: general question answering, code review with configurable focus areas (security, performance, etc.), and brainstorming sessions with contextual prompts. Built by Rai Ansar using the google-generativeai Python library and Gemini 2.0 Flash model, it creates an AI pair programming experience where Claude can leverage Gemini's responses directly within its context, with temperature control for balancing factual accuracy versus creativity. The implementation is valuable for developers seeking multi-AI collaboration workflows where different models can complement each other's strengths in code development, review, and problem-solving tasks.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/raiansar-claude-gemini-collaboration)
- **Repository:** <https://github.com/raiansar/claude_code-gemini-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "raiansar-claude-gemini-collaboration"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raiansar-claude-gemini-collaboration` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raiansar-claude-gemini-collaboration/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
