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Multi-Model Advisor MCP Server

@YuChenSSR

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

YuChenSSR

Multi-Model Advisor MCP Server について

council of models for decision

#multi-model-advisor#ai#mcp

Multi-Model Advisor MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "multi-model-advisor": {
      "command": "node",
      "args": [
        "/absolute/path/to/multi-model-advisor/build/index.js"
      ]
    }
  }
}

Multi-Model Advisor MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Multi-Model Advisor?

Multi-Model Advisor is a Model Context Protocol (MCP) server that queries multiple Ollama models and combines their responses, creating a "council of advisors" approach. It is designed for users who want diverse AI perspectives on a single question, allowing Claude to synthesize multiple viewpoints alongside its own. It integrates locally with Ollama and Claude for Desktop.

How to use Multi-Model Advisor?

Install via Smithery or manually (clone, npm install, build, pull models with ollama pull). Configure a .env file with model names and system prompts. Connect to Claude for Desktop by editing its claude_desktop_config.json. Once connected, ask Claude to use the multi-model advisor (e.g., "what are the most important skills..." and name models). The server exposes two tools: list-available-models and query-models.

Key features of Multi-Model Advisor

  • Query multiple Ollama models with a single question
  • Assign different roles/personas to each model
  • View all available Ollama models on your system
  • Customize system prompts for each model
  • Configure via environment variables
  • Integrate seamlessly with Claude for Desktop

Use cases of Multi-Model Advisor

  • Obtain a synthesized answer from multiple local AI models with different assigned personas
  • Compare creative, supportive, and analytical perspectives on the same question
  • Use as a "council of advisors" to enrich Claude's responses with diverse viewpoints
  • Test and evaluate different Ollama models side-by-side within a conversation

よくある質問

1

What prerequisites are needed to run Multi-Model Advisor?

Node.js 16.x or higher, Ollama installed and running (locally), and Claude for Desktop for the complete advisory experience.

2

How does Multi-Model Advisor handle data privacy?

All queries are run against local Ollama models. No data is sent externally; everything stays on your machine.

3

What models does Multi-Model Advisor use by default?

The default models are `gemma3:1b`, `llama3.2:1b`, and `deepseek-r1:1.5b`. Custom models can be set via the `DEFAULT_MODELS` environment variable.

4

How can I customize each model's persona?

Set system prompts for each model in the `.env` file under `GEMMA_SYSTEM_PROMPT`, `LLAMA_SYSTEM_PROMPT`, `DEEPSEEK_SYSTEM_PROMPT`, etc.

5

What should I do if Claude doesn't show the MCP tools?

Restart Claude after updating the configuration, verify the absolute path in `claude_desktop_config.json` is correct, and check Claude's logs for error messages. Also ensure `list-available-models` is used to verify models are present.

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