# Claude-Gemini Collaborative Integration

> Use this tool when you need to collaborate in real-time on coding projects, discussing ideas and refining solutions with seamless integration between Claude Code and the Gemini CLI. It solves problems of context switching and information loss during collaborative sessions, providing tools for initiating collaborations and accessing conversation history. Ideal for use cases where multiple stakeholders need to work together on coding projects, sharing ideas and expertise in a streamlined and efficient manner.

Canonical page: https://skillsregistry.net/skills/jamiewonderchild-claude-gemini-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jamiewonderchild-claude-gemini-mcp

## Description

Enables seamless real-time collaboration between Claude Code and the Gemini CLI for discussing ideas and refining solutions. It provides tools to initiate collaborative sessions, consult Gemini with context preservation, and access conversation history.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nwobzdq0vw)
- **Repository:** <https://github.com/JamieWonderchild/claude-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": "jamiewonderchild-claude-gemini-mcp"
    }
  }
}
```

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