Context7
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Descripción del creador (original en inglés)
Multi-model LLM Council and parallel AI window for Claude Code. Fork any model, fold results back.
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.
OPENROUTER_API_KEY, AMICUS_SKIP_POSTINSTALLLos 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": {
"amicus": {
"command": "npx",
"args": [
"-y",
"amicus",
"mcp"
],
"env": {
"OPENROUTER_API_KEY": "your-value",
"AMICUS_SKIP_POSTINSTALL": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add amicus --env OPENROUTER_API_KEY=your-value --env AMICUS_SKIP_POSTINSTALL=your-value -- npx -y amicus mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"amicus": {
"command": "npx",
"args": [
"-y",
"amicus",
"mcp"
],
"env": {
"OPENROUTER_API_KEY": "your-value",
"AMICUS_SKIP_POSTINSTALL": "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": {
"amicus": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"amicus",
"mcp"
],
"env": {
"OPENROUTER_API_KEY": "your-value",
"AMICUS_SKIP_POSTINSTALL": "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.
AMICUS_SKIP_POSTINSTALL envEsta 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 BourbonDog, 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: OPENROUTER_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 (4.14.3) llegó al registro hace 23 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: Context7, Codebase Memory, Exa
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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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.
A multi-model LLM Council for Claude — with a parallel AI window underneath.
Hand Claude a plan, a design, a diff, an architecture decision, a manuscript — anything — and say *council review this*: Amicus routes it through several models from different families, has them anonymously cross-review each other, and a non-Claude chair synthesizes a verdict you turn into accept/deny edits. Or skip the ceremony and fork a single conversation to Gemini, GPT, DeepSeek, or any other model — it works in parallel with full context, and you fold the result back when you're ready. Claude orchestrates throughout; you stay in your editor.
The same council — more ways to run it: take it headless in CI with no Claude runtime, sharpen it with a debate round, or run it on free local models (Ollama, LM Studio, vLLM) at $0 — private and offline.
[Quick start ↓](#quick-start) · Commands · Documentation · Troubleshooting
Supported clients: Claude Code CLI, Claude Desktop, and Claude Cowork are fully tested and supported. Claude Code web is experimental.
One install delivers six things that work together:
amicus watch renders any live or finished run (fan-out or council) from any terminal; --follow streams milestones as they happen; --on-complete fires a hook when a run lands; --retry-failed plus opt-in cheaper-model fallbacks recover dead legs without relaunching the whole wave; amicus spend answers "what did this cost, and where" with per-run attribution.amicus watch --ui: a window that shows a council *thinking* — live seats, the anonymized judge packet, the adjudication matrix, dissent drill-in, chair verdict, and cost-by-seat — for both live and historical runs. It also auto-opens on an MCP-invoked council run from Claude Code (local), so you no longer have to remember the flag (see docs/council.md).Claude is the orchestrator. The council and chat skills run *on top of* the engine; you talk to Claude, and Claude drives Amicus.
Trigger it by saying *"council review this"* to Claude, or, on the plugin channel, run `/amicus:council` directly.
Why multi-model. Any single model — including the one running your session — has consistent blind spots. Route the *same* material through models from *different* families and the disagreements surface: missed issues, overstated confidence, claims one model alone would have waved through. The council is the structured version of that idea.
The flow, in five beats:
blocker | major | minor | nit), location, rationale.agree | dispute | neutral) — *unknowingly judging its own*, so self-bias washes out. This yields a street-cred ranking and sorts findings into Disputed / Confirmed / Contested / Singleton tiers. Self-bias is washed out per seat: if you deliberately seat one model twice, each seat's vote on the *other* seat's finding is counted as the real peer vote it is, and the finding is flagged when its only corroboration came from its own twin.flowchart LR
A["Artifact"] --> B["Independent reviews"] B --> C["Anonymized cross-review"] C --> D["Chair verdict (non-Claude)"] D --> E["Tiered accept / deny"] E --> F["Reviewed copy
What a run produces (in output/ -council/):
review- .md × N — each model's independent review.crossreview-matrix.md — the adjudication grid plus the de-anonymized street-cred table.verdict.md — the chair's synthesis.report.md — synthesis + the full decision log + a per-call run-stats table.report.html — the deterministic renderer output (adjudication matrix, street-cred table, findings-by-tier, cost — no chair prose). This is the default artifact handed to the user. -reviewed. next to the original.Optional council elements (v2.2.0, all default off): four opt-in behaviors, offered once as a menu at launch — nothing turns on unless you name it, and the confirmation lists exactly what's on. Chair verdict scale *(standard since v2.2.0's follow-ups — no longer opt-in)*: the chair always closes with 3–5 hard questions and one parseable VERDICT: Ship it | Fix these first | Fundamental rethink line.
The critic and lens methodologies are adapted from the /critic and /debate agents in John Renaldi's product-kit (MIT); the briefing boilerplate lives in skills/second-opinion/SEAT-BRIEFS.md.
Cost is disclosed up front. Before any model launches, you see the run shape — including any enabled optional elements — for example:
This run uses 3 council models across 2 fanout waves + 1 chair call, with critic seat + debate mode ON (~7 base runs + up to 6 rebuttal calls).
Then the council waits for your confirmation.
The skill lives at [`skills/second-opinion/SKILL.md`](./skills/second-opinion/SKILL.md); the design spec behind it is [`skills/second-opinion/COUNCIL-DESIGN.md`](./skills/second-opinion/COUNCIL-DESIGN.md). For what amicus council tally|verdict|report|stats actually take as input and produce — field-by-field schemas, verdict.json's provenance, and a full worked example run against the real CLI — see [docs/council.md](./docs/council.md).
The council is the hero — start with the everyday way, and reach for the more powerful ways when you need them:
second-opinion skill runs the whole ritual above in your session, with no setup beyond your API keys. This is how most people use it. → Quick startamicus council run --prompt-file plan.md --council free runs that same pipeline in one command — reviews → cross-review → tally → chair verdict — writing verdict.json and report.html. It needs no Claude session, so it drops straight into CI. → Headless council (CI)--debate and every Contested or Disputed finding goes back to its raiser to defend, amend, or withdraw while the disputing judges re-vote — exactly one rebuttal round, then the final tally. → The Councilamicus provider add. No API key, no per-token bill, nothing leaves your machine, and it worksSolo se muestra el principio; lee el resto en el repo