home / mcp / multimind mcp server
Provides an MCP server that coordinates multi-agent reasoning to generate, critique, and refine ideas in structured debate.
Configuration
View docs{
"mcpServers": {
"benzinamohamed-multimind-mcp-server": {
"command": "npx",
"args": [
"-y",
"@hmodecode/multimind-mcpserver@latest"
],
"env": {
"APPDATA": "/path/to/your/AppData/Roaming",
"GROQ_API_KEY": "YOUR_GROQ_API_KEY",
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY",
"GITHUB_MODEL_ENDPOINT": "https://your-github-model-endpoint"
}
}
}
}MultiMind MCP Server enables collaborative, critique-driven reasoning among multiple LLM agents. You configure a local or cloud-based MCP server that coordinates agent debates to refine ideas and produce higher-quality solutions. It’s useful for brainstorming, breaking down hard problems, and simulating expert-style reviews with iterative feedback loops.
You run the MCP server and connect a client that supports MCP to start a reflective debate between agents. The server coordinates agent prompts, critiques, and refinements in a structured flow so you can observe step-by-step improvements to ideas and solutions.
Prerequisites: You need Node.js and npm installed on your system. You will also provide API keys for model access.
1) Install Node.js and npm if they are not already installed. You can download them from the official Node.js website and verify with node -v and npm -v.
2) Install and run the MCP server using the standard runtime command. Ensure you have your required API keys ready.
# Start the MultiMind MCP server using npx with the latest release
# You must supply your API keys via environment variables when starting the server
export GROQ_API_KEY=YOUR_GROQ_API_KEY
export OPENAI_API_KEY=YOUR_OPENAI_API_KEY
export APPDATA=/path/to/your/AppData/Roaming # Optional: if you face path issues
export GITHUB_MODEL_ENDPOINT=https://your-github-model-endpoint # Optional: if using GitHub-hosted models
npx -y @hmodecode/multimind-mcpserver@latestConfiguration notes: The server accepts environment variables to control model access. You should provide keys for GroqCloud models and OpenAI models if you plan to use both. You can also specify a GitHub model endpoint if you use GitHub-hosted models.
Security and access: Keep your API keys secure and avoid exposing them in public logs or shared scripts. Use environment-specific configurations for development, staging, and production.