Multi-Model Advisor
About
Queries multiple Ollama models to combine their responses, offering diverse AI perspectives on a single question.
Details
- Author
- YuChenSSR
- GitHub stars
- 82
- Downloads
- 296
- Categories
- Productivity, AI, Other
Jump to
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Multi-Model AdvisorCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"multi-model advisor": {
"multi-model-advisor": {
"command": "node",
"args": [
"/absolute/path/to/multi-model-advisor/build/index.js"
]
}
}
}
}McpServers
{
"multi-model-advisor": {
"command": "node",
"args": [
"/absolute/path/to/multi-model-advisor/build/index.js"
]
}
}Multi-Model Advisor
(锵锵四人行)
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.
<a href="https://glama.ai/mcp/servers/@YuChenSSR/multi-ai-advisor-mcp">
</a>
graph TD
A[Start] --> B[Worker Local AI 1 Opinion]
A --> C[Worker Local AI 2 Opinion]
A --> D[Worker Local AI 3 Opinion]
B --> E[Manager AI]
C --> E
D --> E
E --> F[Decision Made]
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:
npx -y @smithery/cli install @YuChenSSR/multi-ai-advisor-mcp --client claude
Manual Installation
1. Clone this repository: git clone https://github.com/YuChenSSR/multi-ai-advisor-mcp.git
cd multi-ai-advisor-mcp
2. Install dependencies:
npm install
3. Build the project:
npm run build
4. Install required Ollama models:
ollama pull gemma3:1b
ollama pull llama3.2:1b
ollama pull deepseek-r1:1.5b
Configuration
Create a .env file in the project root with your desired configuration:
```
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
