# gemini-relay

> gemini-relay — v-songbird-gemini-relay. Use this tool when you need to connect AI agents or Claude Code to Google Gemini models for high-performance tasks like reasoning effort and image generation. It solves problems of compatibility and integration by acting as a Model Context Protocol (MCP) server, facilitating seamless communication between different platforms. The gemini-relay tool takes in code and model requests, and outputs generated images or reasoning results, making it ideal for use cases requiring advanced AI capabilities.

Canonical page: https://skillsregistry.net/skills/v-songbird-gemini-relay  
JSON: https://api.skillsregistry.net/v1/skills/v-songbird-gemini-relay

## Description

High-performance Model Context Protocol (MCP) server connecting Claude Code and AI agents to Google Gemini 3.8 Flash, Gemini 3.1 Pro, reasoning effort, and image generation.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/V-Songbird/gemini-relay)

## 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": "v-songbird-gemini-relay"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/v-songbird-gemini-relay` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/v-songbird-gemini-relay/pull`

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