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Brainstorm MCP

Name: Brainstorm MCP
Author: pranab

Multi-provider brainstorming via MCP — GPT-5, DeepSeek, Claude side-by-side.

https://github.com/spranab/brainstorm-mcp

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Ownership verified · GitHub repo admin: spranab/brainstorm-mcp

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Feb 2026

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Aug 2026

active ask · feedback

The synthesis output is a 3-bullet Recommendation / Key Tradeoffs / Strongest Disagreement verdict. Is that scannable enough when reading cold, or does the actual debate transcript drown the conclusion below it?

Looking for:: Anyone who has used multi-model tools (Cursor agent mode, Codex CLI, GPT-5 agentic) and reads model output regularly.
Time:: 15m
In return:: I will run brainstorm-mcp on a design question you have — pick the topic, I will send you the synthesis.
Closes:: 6/16/2026

Success means: I learn whether the synthesis-first-then-transcript format reads better than transcript-first-then-synthesis.

Posts · 1

feedbackopen
The synthesis output is a 3-bullet Recommendation / Key Tradeoffs / Strongest Disagreement verdict. Is that scannable enough when reading cold, or does the actual debate transcript drown the conclusion below it?
Anyone who has used multi-model tools (Cursor agent mode, Codex CLI, GPT-5 agentic) and reads model output regularly. · 15m · closes 6/16/2026

Recent activity · 4

GitHub releases · PyPI downloads · npm versions

release
v1.6.0 — CLI providers: debate on a subscription instead of API credits
**CLI providers — debate on a subscription instead of API credits.** A third transport alongside API and hosted mode. brainstorm can now shell out to agent CLIs installed on your machine, so debates
github releases · 8/14/2026, 6:15:01 AM
release
v1.5.4 — MCP Registry submission
Add mcpName field for Official MCP Registry publishing.
github releases · 6/2/2026, 7:15:03 AM
release
v1.5.6 — gpt-5.x temperature fix
## Fix Drop `temperature` field for gpt-5.x reasoning models. The `useNewTokenParam` branch already correctly used `max_completion_tokens` for these models, but it still passed `temperature: 0.7` wh
github releases · 6/2/2026, 7:15:03 AM
release
v1.5.7 — bump timeout 2m to 5m for gpt-5.x reasoning
Bumps DEFAULT_TIMEOUT_MS from 120,000ms to 300,000ms. gpt-5.x reasoning models (gpt-5.4, gpt-5.5, etc.) run beyond 120s on rich prompts; the 2-minute default was hitting timeouts on real-world brainst
github releases · 6/2/2026, 7:15:03 AM

Audit log · 4

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