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spranab/brainstorm-mcp

MITAPI key required

](https://glama.ai/mcp/servers/@spranab/brainstorm-mcp) 📇 🏠 🍎 🪟 🐧 - Multi-round AI brainstorming debates between multiple models (GPT, Gemini, DeepSeek, Groq, Ollama, etc.). Pit different LLMs ag

TypeScriptAI & LLMs

Install

npx -y brainstorm-mcp

Required environment variables

OPENAI_API_KEYSet in your MCP config
GEMINI_API_KEYSet in your MCP config
DEEPSEEK_API_KEYSet in your MCP config

claude_desktop_config.json

claude_desktop_config.json
{
  "mcpServers": {
    "spranab-brainstorm-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "brainstorm-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
        "GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>",
        "DEEPSEEK_API_KEY": "<YOUR_DEEPSEEK_API_KEY>"
      }
    }
  }
}

Add this to your Claude Desktop config file. Find it at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS.

What this does

spranab/brainstorm-mcp exposes a set of tools to Claude over the Model Context Protocol. After you add it to claude_desktop_config.json (snippet above) and restart Claude Desktop, those tools become callable inside any conversation. That makes it useful when you want Claude to reach into other AI providers and LLM tooling without copy-pasting context every turn.

Requirements

This server needs the following environment variables to be set before it can run:

OPENAI_API_KEY
GEMINI_API_KEY
DEEPSEEK_API_KEY

Set these via the env object in your MCP config (see claude_desktop_config.json snippet above).

Common use cases

  • Delegate reasoning to a different model or LLM provider from a Claude session
  • Pull live model documentation, rate limits, or usage data into context
  • Chain Claude with another agent or evaluation pipeline