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Descripción del creador (original en inglés)
Multi-model AI brainstorming debates with code review and quick perspectives
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
OPENAI_API_KEY, GEMINI_API_KEY, DEEPSEEK_API_KEYLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"brainstorm": {
"command": "npx",
"args": [
"-y",
"brainstorm-mcp"
],
"env": {
"OPENAI_API_KEY": "your-value",
"GEMINI_API_KEY": "your-value",
"DEEPSEEK_API_KEY": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add brainstorm --env OPENAI_API_KEY=your-value --env GEMINI_API_KEY=your-value --env DEEPSEEK_API_KEY=your-value -- npx -y brainstorm-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"brainstorm": {
"command": "npx",
"args": [
"-y",
"brainstorm-mcp"
],
"env": {
"OPENAI_API_KEY": "your-value",
"GEMINI_API_KEY": "your-value",
"DEEPSEEK_API_KEY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"brainstorm": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"brainstorm-mcp"
],
"env": {
"OPENAI_API_KEY": "your-value",
"GEMINI_API_KEY": "your-value",
"DEEPSEEK_API_KEY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub spranab, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: OPENAI_API_KEY, GEMINI_API_KEY, DEEPSEEK_API_KEY
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (1.8.0) llegó al registro hace 38 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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MCP server for terminal commands, file operations, and process management
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Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Ask one model a design question and you get one confident answer, with no signal about which parts it is unsure of. Ask three and the disagreement is the signal.
brainstorm-mcp runs multi-round debates between GPT, Gemini, DeepSeek, Claude and local Ollama models from inside your editor: they see and critique each other's answers across rounds, then you get a 3-bullet synthesis — recommendation, key tradeoffs, strongest disagreement. Also does instant quick mode, multi-model code review with verdicts, and red-team/Socratic styles. Hosted mode needs zero API keys.
Don't trust one AI. Make them argue.
claude mcp add brainstorm -- npx -y brainstorm-mcp
Then ask Claude: *"Brainstorm using opus, sonnet, and haiku about whether we should use GraphQL or REST."*
That runs in hosted mode: no API keys, no provider accounts. The debate uses the models already available in your environment, and you get the 3-bullet synthesis at the end.
Click to watch: 3 models debate, cross-examine, and produce a structured verdict — all inside Claude Code.
claude, codex, and more) so debates run on your subscription instead of API creditsThe one-line command under Quick start is enough for hosted mode. Add provider keys to bring GPT, Gemini, DeepSeek, Groq or Ollama into the debate; per-client setup follows.
Add to your project's .mcp.json:
{
"mcpServers": { "brainstorm": { "command": "npx", "args": ["-y", "brainstorm-mcp"], "env": { "OPENAI_API_KEY": "sk-...", "GEMINI_API_KEY": "AIza...", "DEEPSEEK_API_KEY": "sk-..." } } } }
Add to claude_desktop_config.json:
{
"mcpServers": { "brainstorm": { "command": "npx", "args": ["-y", "brainstorm-mcp"], "env": { "OPENAI_API_KEY": "sk-...", "DEEPSEEK_API_KEY": "sk-..." } } } }
npm install -g brainstorm-mcp
brainstorm-mcp
Hosted mode requires no API keys — just install and go. The host (Claude Code) executes prompts using its own model access.
OPENAI_API_KEY=sk-...
GEMINI_API_KEY=AIza... DEEPSEEK_API_KEY=sk-...
Set BRAINSTORM_CONFIG to point to a JSON config:
{
"providers": { "openai": { "model": "gpt-6.1-sol", "apiKeyEnv": "OPENAI_API_KEY" }, "gemini": { "model": "gemini-3.8-flash", "apiKeyEnv": "GEMINI_API_KEY" }, "deepseek": { "model": "deepseek-flash", "apiKeyEnv": "DEEPSEEK_API_KEY" }, "ollama": { "model": "llama3.1", "baseURL": "http://localhost:11434/v1" } } }
Known providers (openai, gemini, deepseek, groq, mistral, together, moonshot, minimax, glm, qwen, xai) don't need a baseURL, and the ones with a built-in default model (openai, gemini, deepseek, moonshot, minimax, glm, qwen, xai) don't need a model either. Use provider:default (e.g. openai:default) to mean a provider's default model.
Env-var detection: OPENAI_API_KEY, GEMINI_API_KEY, DEEPSEEK_API_KEY, MOONSHOT_API_KEY, MINIMAX_API_KEY, ZAI_API_KEY, DASHSCOPE_API_KEY (Qwen), XAI_API_KEY (Grok; GROK_API_KEY also works). Each also accepts _BASE_URL and _DEFAULT_MODEL.
| Provider | Default model |
|---|---|
openai | gpt-6.1-sol (also gpt-6-astra, gpt-6-sol, gpt-6-luna, gpt-5.5) |
gemini | gemini-3.8-flash (gemini-3.1-pro-preview for Pro) |
deepseek | deepseek-flash (deepseek-v4-pro) |
xai | grok-4.7 |
moonshot | kimi-k3 |
minimax | MiniMax-M3 |
glm | glm-5.3 |
qwen | qwen3.8-max |
Reasoning models (GPT-5/6, o-series, Kimi K3, Gemini 3, DeepSeek V4, Grok 4+, GLM-5, MiniMax M3, Qwen 3.5+) are sent the token budget they need and no temperature; inline … blocks are stripped from replies.
Any model id the provider serves works, including OpenAI's GPT-6 (openai:gpt-6-astra) and the gpt-5.x reasoning models: brainstorm picks the request shape each model expects and retries with the other shape if the API rejects it.
If you already pay for Claude Code, Codex, Gemini CLI, and friends, brainstorm can shell out to those CLIs instead of buying API credits. Any agent CLI found on your `PATH` is registered automatically at startup — no configuration needed:
[brainstorm] Detected CLI provider(s) on PATH: claude, codex (subscription-based, no API cost)
Use them like any other provider:
{ "topic": "GraphQL vs REST", "models": ["claude:sonnet", "codex:default", "openai:gpt-6.1-sol"] }
Built-in adapters:
| Provider | Command | Default model | Status |
|---|---|---|---|
claude | claude -p | sonnet | verified |
codex | codex exec | default | verified |
gemini | gemini -p | default | best-effort, verify locally |
cursor-agent | cursor-agent -p | default | best-effort |
opencode | opencode run | default | best-effort |
qwen | qwen -p | default | best-effort |
kimi | kimi --print | default | best-effort |
droid | droid exec | default | best-effort |
:default means "let the CLI use whatever model it's configured with". CLI calls run with tools disabled and a read-only sandbox where the CLI supports it — they generate text, they don't touch your repo. Provider-specific API key env vars (ANTHROPIC_API_KEY, OPENAI_API_KEY) are stripped from the child process so the CLI falls back to your subscription login.
Env knobs:
| Variable | Effect |
|---|---|
BRAINSTORM_CLI_PROVIDERS | auto (default), off, or a comma-separated list of adapters to detect |
BRAINSTORM_PREFER_CLI | 1 — debates with no explicit models use only CLI providers, skipping metered APIs |
BRAINSTORM_CLI_TIMEOUT_MS | Per-call timeout for CLI providers (default 300000) |
To pin a model or add a CLI that isn't built in, use the config file:
{
"providers": { "claude": { "type": "cli", "model": "opus" }, "my-cli": { "type": "cli", "adapter": "custom", "command": "some-agent-cli", "args": ["run", "--model", "{{model}}", "--quiet", "{{prompt}}"], "promptVia": "arg", "model": "some-model" } } }
Template placeholders: {{model}}, {{system}}, {{prompt}}, {{outfile}}. A lone placeholder that resolves to nothing drops out of the command line along with the flag introducing it, so ["--model", "{{model}}"] works even for provider:default. Set "promptVia": "stdin" to pipe the prompt instead of passing it as an argument.
Moonshot (Kimi), MiniMax, and Z.ai (GLM) sell coding-plan subscriptions that speak the Anthropic API. Point the claude binary at one of them and that vendor joins the debate on the plan you already pay for:
{
"providers": { "moonshot": { "type": "cli", "backend": "moonshot", "model": "kimi-k3" }, "minimax": { "type": "cli", "backend": "minimax", "model": "MiniMax-M3" }, "glm": { "type": "cli", "backend": "glm", "model": "glm-5.3" } } }
| Backend | Endpoint | Token env var |
|---|---|---|
moonshot | https://api.moonshot.ai/anthropic | MOONSHOT_API_KEY |
minimax | https://api.minimax.io/anthropic | MINIMAX_API_KEY |
glm | https://api.z.ai/api/anthropic | ZAI_API_KEY |
The token is read from your environment at call time — the config file holds the variable name, never the secret. ANTHROPIC_API_KEY is stripped from the child so your Anthropic account is never billed for these. Any CLI provider also accepts an "env" block to override the backend manually; a value of "$NAME" indirects through the server's environment.
These vendors are reachable as plain metered APIs too — moonshot, minimax, glm and qwen have known base URLs, so MOONSHOT_API_KEY alone is enough to register moonshot as an API provider.
| Tool | Description | Annotation |
|---|---|---|
brainstorm | Multi-round debate between AI models (API or hosted mode) | readOnly |
brainstorm_quick | Instant multi-model perspectives — parallel, no rounds | readOnly |
brainstorm_review | Multi-model code review with findings, severity, verdict | readOnly |
brainstorm_respond | Submit Claude's response in an interactive session | readOnly |
brainstorm_collect | Submit model responses in a hosted session | readOnly |
list_providers | Show configured providers, API key status, and detected CLIs | readOnly |
add_provider | Add a new API or CLI provider at runtime | non-destructive |
Prompt: "Use brainstorm_quick to compare Redis vs PostgreSQL for session storage"
Tool called: brainstorm_quick
{ "topic": "Redis vs PostgreSQL for session storage in a Node.js app" }
Output: Each configured model responds independently in parallel. You get a side-by-side comparison in under 10 seconds with model names, responses, timing, and cost.
Error handling: If a model fails (rate limit, timeout), the tool continues with remaining models and shows which ones failed.
Prompt: "Review this diff for security issues" (with a git diff pasted)
Tool called: brainstorm_review
{
"diff": "diff --git a/src/auth.ts ...", "title": "Add JWT authentication middleware", "focus": ["security", "correctness"] }
Output: A structured verdict (approve / approve with warnings / needs changes) with a findings table show
Solo se muestra el principio; lee el resto en el repo