Multi-Model Advisor

Name: Multi-Model Advisor
Author: YuChenSSR

@YuChenSSR

リポジトリ

Multi-Model Advisor について

council of models for decision

#multi-model-advisor #ai #mcp

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

YuChenSSR

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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

FAQ from Multi-Model Advisor

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.

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.

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.

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.

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.