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.
Multi-Model Advisor MCP Server
@YuChenSSR
Basic information
About Multi-Model Advisor MCP Server
council of models for decision
Multi-Model Advisor MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"multi-model-advisor": {
"command": "node",
"args": [
"/absolute/path/to/multi-model-advisor/build/index.js"
]
}
}
}Multi-Model Advisor MCP Server tools
Tool list not available yet
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Overview
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
Frequently asked questions
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.
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