MCP Connector

Query Multiple AI Models for Diverse Insights

Query multiple Ollama models simultaneously for diverse AI perspectives with this MCP server. Integrates with Claude.

Works with ollama

95
Spark score
out of 100
Status Verified
Updated 5 months ago
Version 1.0.0
Models
universal

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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

01

Query multiple Ollama models simultaneously with a single prompt.

02

Assign custom roles and system prompts to individual AI models.

03

View and manage all available Ollama models on your system.

04

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

list-available-models

Shows all Ollama models available on your system

query-models

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 name
  • SERVER_VERSION - Server version
  • DEBUG - Enable debug mode
  • OLLAMA_API_URL - URL for Ollama API
  • DEFAULT_MODELS - Comma-separated list of default models
  • GEMMA_SYSTEM_PROMPT - System prompt for Gemma model
  • LLAMA_SYSTEM_PROMPT - System prompt for Llama model
  • DEEPSEEK_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

Official By maintainer
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