Multi-MCP

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

What does this entry provide?

Multi-MCP is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Multi-MCP to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 67/100
Install method: pypi
Repo: religa/multi_mcp
Repo updated: Dec 22, 2025

Install command

uvx multi-mcp==0.1.1

Install method: pypi

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Dec 22, 2025

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2025-12-22T22:36:04.492025Z",
      "publishedAt": "2025-12-22T22:36:04.492025Z",
      "statusChangedAt": "2025-12-22T22:36:04.492025Z"
    }
  },
  "server": {
    "name": "io.github.religa/multi-mcp",
    "title": "Multi-MCP",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.1.1",
    "packages": [
      {
        "version": "0.1.1",
        "transport": {
          "type": "stdio"
        },
        "identifier": "multi-mcp",
        "registryType": "pypi",
        "environmentVariables": [
          {
            "name": "OPENAI_API_KEY",
            "isSecret": true,
            "description": "OpenAI API key for GPT models (optional - at least one provider required)"
          },
          {
            "name": "ANTHROPIC_API_KEY",
            "isSecret": true,
            "description": "Anthropic API key for Claude models (optional - at least one provider required)"
          },
          {
            "name": "GEMINI_API_KEY",
            "isSecret": true,
            "description": "Google API key for Gemini models (optional - at least one provider required)"
          },
          {
            "name": "OPENROUTER_API_KEY",
            "isSecret": true,
            "description": "OpenRouter API key for additional models (optional)"
          },
          {
            "name": "DEFAULT_MODEL",
            "description": "Default model to use (defaults to gpt-5-mini)"
          },
          {
            "name": "DEFAULT_MODEL_LIST",
            "description": "Default models for multi-model comparison (comma-separated, defaults to gpt-5-mini,gemini-3-flash)"
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/religa/multi_mcp",
      "source": "github"
    },
    "websiteUrl": "https://github.com/religa/multi_mcp#readme",
    "description": "Multi-model AI orchestration MCP server with code review, compare, and debate tools."
  }
}

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