# Multi-MCP

> Use this tool when you need to manage and orchestrate multiple AI models, or require a platform for code review, comparison, and debate. The Multi-MCP tool solves problems related to AI model management, code quality assurance, and collaborative development. It takes in AI models and code as inputs and outputs optimized models, code reviews, and debate outcomes, ideal for use cases involving complex AI deployments and development teams.

Canonical page: https://skillsregistry.net/skills/io-github-religa-multi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-religa-multi-mcp

## Description

Multi-model AI orchestration MCP server with code review, compare, and debate tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.religa%2Fmulti-mcp)
- **Repository:** <https://github.com/religa/multi_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": "io-github-religa-multi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-religa-multi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-religa-multi-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