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spranab/brainstorm-mcp

v1.5.0 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 2mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai ai-debate brainstorming claude deepseek groq
+7 more
llm mcp mcp-server model-context-protocol multi-model ollama openai

Summary

AI summary

Added brainstorm_quick for instant multi-model perspectives and brainstorm_review for structured code reviews.

Full changelog

What's New

brainstorm_quick — Instant Multi-Model Perspectives

The 10-second mode. Fires all models in parallel, returns a compact comparison. No rounds, no synthesis delay. Perfect for:

  • Quick second opinions
  • Snap decisions ("Redis vs Postgres?")
  • Getting diverse perspectives fast

Just call brainstorm_quick with a topic and get answers from all configured models in one shot.

brainstorm_review — Multi-Model Code Review

Pass a unified diff and get a structured code review from multiple models independently, then synthesized into:

  • Verdict: approve / approve with warnings / needs changes
  • Findings table: severity, category, file/line refs, suggestions
  • Model agreement: which issues were flagged by multiple models (high confidence) vs. one (worth investigating)

Each model reviews from different angles (security, performance, correctness, maintainability). The synthesis deduplicates and ranks findings by severity.

Usage

# Quick perspectives
brainstorm_quick(topic: "Should we use WebSockets or SSE?")

# Code review
brainstorm_review(diff: "<git diff output>", title: "Add auth middleware")

Both tools support all existing features: context injection, debate styles (freeform/redteam/socratic), and work with any configured providers.

Total Tools: 7

brainstorm, brainstorm_respond, brainstorm_collect, brainstorm_quick, brainstorm_review, list_providers, add_provider

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About spranab/brainstorm-mcp

Multi-round AI brainstorming debates between multiple models (GPT, Gemini, DeepSeek, Groq, Ollama, etc.). Pit different LLMs against each other to explore ideas from diverse perspectives.

All releases →

Beta — feedback welcome: [email protected]