Model Council MCP配置与使用教程

{
  "id": "io.github.Totti0135/model-council",
  "type": "mcp-server",
  "version": "0.14.0",
  "displayName": "Model Council",
  "description": "Consult other LLMs as tools — ask them, compare their answers, synthesize a conclusion.",
  "repository": {
    "url": "https://github.com/Totti0135/model-council",
    "source": "github"
  },
  "distribution": {
    "packages": [
      {
        "registryType": "pypi",
        "identifier": "model-council-mcp",
        "version": "0.14.0",
        "transport": "stdio",
        "environmentVariables": [
          {
            "name": "COUNCIL_MODELS",
            "description": "Comma-separated short ids for the models to seat, e.g. 'gpt5,glm'. Each id then takes its own <ID>_BASE_URL, <ID>_API_KEY, <ID>_MODEL and optional <ID>_FORMAT (openai or anthropic). Omit to use a config file instead."
          },
          {
            "name": "COUNCIL_CONFIG",
            "description": "Path to a JSON config file, for rosters large enough that several models share one endpoint. Defaults to ~/.config/model-council/config.json when that exists."
          }
        ]
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode",
    "trae",
    "cherry-studio",
    "lingma",
    "windsurf",
    "cline",
    "workbuddy"
  ],
  "keywords": [],
  "provenance": {
    "origin": "official-mcp-registry",
    "originalId": "io.github.Totti0135/model-council",
    "originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.Totti0135%2Fmodel-council/versions/latest",
    "isOfficial": true,
    "status": "active"
  }
}