Query Multiple AI Models for Diverse Insights
Query multiple Ollama models simultaneously for diverse AI perspectives with this MCP server. Integrates with Claude.
1.0.0Add to Favorites
Why it matters
Leverage an 'expert council' of multiple Ollama models to generate diverse perspectives on a single query. This asset combines AI responses, allowing for richer analysis and decision-making.
Outcomes
What it gets done
Query multiple Ollama models simultaneously with a single prompt.
Assign custom roles and system prompts to individual AI models.
View and manage all available Ollama models on your system.
Integrate seamlessly with Claude for Desktop for enhanced workflows.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-multi-model-advisor | bash Capabilities
Tools your agent gets
Shows all Ollama models available on your system
Queries multiple Ollama models with a single question and combines their responses
Overview
Multi-Model Advisor MCP Server
The Multi-Model Advisor MCP Server allows users to query multiple Ollama models simultaneously, combining their responses to generate diverse AI perspectives on a single question. It supports assigning different roles/personas to each model, customizing system prompts, and configuring via environment variables. The tool also provides a `list-available-models` tool to view all Ollama models on the system and integrates with Claude for Desktop. This tool is useful for users who need to gather multifaceted AI insights by querying multiple language models at once. It is particularly beneficial when diverse perspectives on a single prompt are required. The tool requires Ollama to be installed and running locally, and supports Node.js 16.x or higher.
What it does
This MCP server queries multiple Ollama models and combines their responses, providing diverse AI perspectives on a single question through an "expert council" approach.
Installation can be done via Smithery:
npx -y @smithery/cli install @YuChenSSR/multi-ai-advisor-mcp --client claude
Or from source:
git clone https://github.com/YuChenSSR/multi-ai-advisor-mcp.git
cd multi-ai-advisor-mcp
npm install
npm run build
ollama pull gemma3:1b
ollama pull llama3.2:1b
ollama pull deepseek-r1:1.5b
Configuration for Claude Desktop is straightforward:
{
"mcpServers": {
"multi-model-advisor": {
"command": "node",
"args": ["/absolute/path/to/multi-ai-advisor-mcp/build/index.js"]
}
}
}
Source README
An MCP server that queries multiple Ollama models and combines their responses, providing diverse AI perspectives on a single question through an "expert council" approach.
Installation
Smithery
npx -y @smithery/cli install @YuChenSSR/multi-ai-advisor-mcp --client claude
From Source
git clone https://github.com/YuChenSSR/multi-ai-advisor-mcp.git
cd multi-ai-advisor-mcp
npm install
npm run build
ollama pull gemma3:1b
ollama pull llama3.2:1b
ollama pull deepseek-r1:1.5b
Configuration
Claude Desktop
{
"mcpServers": {
"multi-model-advisor": {
"command": "node",
"args": ["/absolute/path/to/multi-ai-advisor-mcp/build/index.js"]
}
}
}
Available Tools
| Tool | Description |
|---|---|
list-available-models |
Shows all Ollama models on your system |
query-models |
Queries multiple models with a single question |
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
- Configuration via environment variables
- Seamless integration with Claude for Desktop
Environment Variables
Optional
SERVER_NAME- Server nameSERVER_VERSION- Server versionDEBUG- Enable debug modeOLLAMA_API_URL- URL for Ollama APIDEFAULT_MODELS- Comma-separated list of default modelsGEMMA_SYSTEM_PROMPT- System prompt for Gemma modelLLAMA_SYSTEM_PROMPT- System prompt for Llama modelDEEPSEEK_SYSTEM_PROMPT- System prompt for DeepSeek model
Usage Examples
Show me which Ollama models are available on my system
what are the most important skills for success in today's job market, you can use gemma3:1b, llama3.2:1b, deepseek-r1:1.5b to help you
Notes
Requires Ollama to be installed and running locally. Each model can be assigned different personas/roles to obtain diverse perspectives. Supports Node.js 16.x or higher.
FAQ
Common questions
Trust
How it checks out
Discussion
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