Multi-Model Advisor

Name: Multi-Model Advisor
Author: YuChenSSR

@YuChenSSR

代码仓库

关于 Multi-Model Advisor

council of models for decision

#multi-model-advisor #ai #mcp

基本信息

分类

其他

许可证

MIT

运行时

node

传输方式

stdio

发布者

YuChenSSR

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.