# zerouter-mcp

> zerouter-mcp — zerouterai-zerouter-mcp. Use this tool when you need to integrate multiple AI models, such as Claude, GPT, Gemini, Grok, and Kimi, into a single API gateway. It solves the problem of managing multiple AI interfaces by providing a unified gateway via Zerouter, accepting API requests as input and returning AI model responses as output. Ideal for use cases requiring seamless interaction with various AI models, streamlining development and deployment through git integration.

Canonical page: https://skillsregistry.net/skills/zerouterai-zerouter-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zerouterai-zerouter-mcp

## Description

AI API gateway MCP for Claude, GPT, Gemini, Grok and Kimi via Zerouter

## 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:** 2026-10-18

## Source

- **Source listing:** [GitHub](https://github.com/ZerouterAI/zerouter-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": "zerouterai-zerouter-mcp"
    }
  }
}
```

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