# gemini_mcp

> Use this tool when you need to enable high-performance, stateful AI interactions between Model Context Protocol (MCP) clients and the Gemini CLI. It solves the problem of cold-start overhead and provides multi-modal support and built-in tool execution capabilities. The gemini_mcp bridge takes in MCP requests and outputs Gemini CLI responses via the Agent Client Protocol (ACP) interface.

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

## Description

A bridge that connects the Model Context Protocol to the Gemini CLI via the Agent Client Protocol (ACP) for high-performance, stateful AI interactions. It enables MCP clients to leverage Gemini's autonomous capabilities, including multi-modal support and built-in tool execution, without cold-start overhead.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/btt79qr8ph)
- **Repository:** <https://github.com/shenyunhuan/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": "shenyunhuan-gemini-mcp"
    }
  }
}
```

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

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