How to Use Brainstorm MCP Server to Let Claude Consult Other LLMs

A developer has created an MCP server called "brainstorm-mcp" that gives Claude Code a "phone a friend" capability, allowing it to consult with other AI models before delivering answers. This approach addresses situations where a single model's perspective might be insufficient for complex technical decisions.

How It Works

When you ask Claude Code to brainstorm a problem, it doesn't just forward your question to other models. Instead, it initiates a multi-round debate where:

Claude reads responses from GPT and DeepSeek
It disagrees where it thinks they're wrong
All models refine their positions across rounds
The other models see Claude's responses and adjust their own

Example: AI Code Review Tool Design

The source provides a concrete example of the debate process:

GPT-5.2: Proposed an enterprise system with Neo4j graph DB, OPA policies, Kafka, multi-pass LLM reasoning
DeepSeek: Went even bigger — fine-tuned CodeLlama 70B, custom GNNs, Pinecone
Claude: "This should be a pipeline, not a monolith. Keep the stack boring. Use pgvector not Pinecone. Ship semantic review first, add team learning in v2."

In round 2, both other models adjusted: GPT-5.2 agreed on pgvector, and DeepSeek dropped the custom models. All three converged on FastAPI + Postgres + tree-sitter + hosted LLM.

The entire process took 75 seconds and cost $0.07.

Setup and Configuration

To use this with Claude Code, add the following to your .mcp.json file:

{
  "mcpServers": {
    "brainstorm": {
      "command": "npx",
      "args": ["-y", "brainstorm-mcp"],
      "env": {
        "OPENAI_API_KEY": "sk-...",
        "DEEPSEEK_API_KEY": "sk-..."
      }
    }
  }
}

Then simply tell Claude: "Brainstorm the best approach for [your problem]"