Brainstorm FAQs

Question 1

Which language models does Brainstorm support?

Accepted Answer

Brainstorm supports a wide array of popular LLMs including OpenAI (GPT-4o, GPT-4, etc.), DeepSeek, Groq, Mistral, Together, and local models via Ollama. It automatically detects API keys for known providers and allows for custom configuration.

Question 2

How can I integrate Brainstorm into my development workflow?

Accepted Answer

You can integrate Brainstorm as an MCP server with clients like Claude Code or Claude Desktop by adding it to your `.mcp.json` config. Alternatively, install it globally via npm and run it manually, configuring API keys through environment variables or a dedicated JSON file.

Question 3

What is Brainstorm and how does it work?

Accepted Answer

Brainstorm is an MCP server that orchestrates multi-round debates between various AI models. You pose a topic, and configured LLMs (like GPT, DeepSeek, Groq) respond in parallel, critique each other's answers across rounds, and a designated synthesizer model provides a final consolidated output.

Question 4

What are the key benefits of using Brainstorm?

Accepted Answer

Brainstorm eliminates single-perspective AI answers by fostering diverse viewpoints and cross-model critiques. This leads to more comprehensive, robust, and well-rounded solutions for complex problems, enhancing your decision-making and creative processes.

Question 5

Can I customize the AI debate process?

Accepted Answer

Yes, Brainstorm offers extensive customization. You can specify the number of debate rounds, select specific models for participation (e.g., 'openai:gpt-4o' and 'deepseek:deepseek-chat'), choose a dedicated synthesizer model, and provide a custom system prompt for all LLMs.

Brainstorm

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