Multi-Model Advisor (Ollama)

Multi-Model Advisor

( )

![smithery badge](https://smithery.ai/badge/@YuChenSSR/multi-ai-advisor-mcp)

A Model Context Protocol (MCP) server that queries multiple Ollama models and combines their responses, providing diverse AI perspectives on a single question. This creates a "council of advisors" approach where Claude can synthesize multiple viewpoints alongside its own to provide more comprehensive answers.

Features

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

Prerequisites

Node.js 16.x or higher

Ollama installed and running (see Ollama installation)

Claude for Desktop (for the complete advisory experience)

Installation

Installing via Smithery

To install multi-ai-advisor-mcp for Claude Desktop automatically via Smithery:

Manual Installation

Clone this repository:

Install dependencies:

Build the project:

Install required Ollama models:

Configuration

Create a .env file in the project root with your desired configuration:

Connect to Claude for Desktop

Locate your Claude for Desktop configuration file:

Edit the file to add the Multi-Model Advisor MCP server:

Replace /absolute/path/to/ with the actual path to your project directory

Restart Claude for Desktop

Usage

Once connected to Claude for Desktop, you can use the Multi-Model Advisor in several ways:

List Available Models

You can see all available models on your system:

This will display all installed Ollama models and indicate which ones are configured as defaults.

Basic Usage

Simply ask Claude to use the multi-model advisor:

Claude will query all default models and provide a synthesized response based on their different perspectives.

example

How It Works

The MCP server exposes two tools:

When you ask Claude a question referring to the multi-model advisor:

Each model can have a different "persona" or role assigned, encouraging diverse perspectives.

Troubleshooting

Ollama Connection Issues

If the server can't connect to Ollama:

Ensure Ollama is running (ollama serve)

Check that the OLLAMA_API_URL is correct in your .env file

Try accessing http://localhost:11434 in your browser to verify Ollama is responding

Model Not Found

If a model is reported as unavailable:

Check that you've pulled the model using ollama pull <model-name>

Verify the exact model name using ollama list

Use the list-available-models tool to see all available models

Claude Not Showing MCP Tools

If the tools don't appear in Claude:

Ensure you've restarted Claude after updating the configuration

Check the absolute path in claude_desktop_config.json is correct

Look at Claude's logs for error messages

RAM is not enough

Some managers' AI models may have chosen larger models, but there is not enough memory to run them. You can try specifying a smaller model (see the Basic Usage) or upgrading the memory.

License

MIT License

For more details, please see the LICENSE file in this project repository

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.