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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Cortex Gateway

de wellknownmcpversión 0.2.0i★ –iComputadora o nube
Nombre en el registroio.github.wellknownmcp/cortex-gateway

Instalar

Resumen

Descripción del creador (original en inglés)

Self-hosted federated MCP gateway: one OAuth 2.1 MCP server in front of N apps, user-level scopes.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Computadora o nube
  • Transporte: Streamable HTTP
  • Categoría: Otros
  • Debes completar: CORTEX_CANONICAL_URI, OAUTH_ISSUER, CORTEX_BACKENDS, CORTEX_TECHNICAL_TOKEN

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

  • Revisiones básicas: 1 de 1 superadas
  • Se ejecuta en el servidor del creador: lo que le pidas pasa por su servidor.
  • Debes completar tú: CORTEX_CANONICAL_URI, OAUTH_ISSUER, CORTEX_BACKENDS, CORTEX_TECHNICAL_TOKEN

Los 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 …”.

Funciona en Claude para web, escritorio y móvil:

  1. Abre Settings → Connectors
  2. Presiona Add custom connector
  3. Pega la dirección de abajo y presiona Add
  4. Si te pide iniciar sesión, inicia sesión en el servicio del creador
SettingsConnectors1+ Add2https://…3
https://mcp.cortex-gateway.dev/mcp

O ejecútalo en tu computadora

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "cortex-gateway": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CORTEX_CANONICAL_URI",
        "-e",
        "OAUTH_ISSUER",
        "-e",
        "CORTEX_BACKENDS",
        "-e",
        "CORTEX_TECHNICAL_TOKEN",
        "ghcr.io/wellknownmcp/cortex-gateway:v0.2.0"
      ],
      "env": {
        "CORTEX_CANONICAL_URI": "your-value",
        "OAUTH_ISSUER": "your-value",
        "CORTEX_BACKENDS": "your-value",
        "CORTEX_TECHNICAL_TOKEN": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add --transport http cortex-gateway https://mcp.cortex-gateway.dev/mcp

O ejecútalo en tu computadora

claude mcp add cortex-gateway --env CORTEX_CANONICAL_URI=your-value --env OAUTH_ISSUER=your-value --env CORTEX_BACKENDS=your-value --env CORTEX_TECHNICAL_TOKEN=your-value -- docker run -i --rm -e CORTEX_CANONICAL_URI -e OAUTH_ISSUER -e CORTEX_BACKENDS -e CORTEX_TECHNICAL_TOKEN ghcr.io/wellknownmcp/cortex-gateway:v0.2.0

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "cortex-gateway": {
      "url": "https://mcp.cortex-gateway.dev/mcp"
    }
  }
}

O ejecútalo en tu computadora

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "cortex-gateway": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CORTEX_CANONICAL_URI",
        "-e",
        "OAUTH_ISSUER",
        "-e",
        "CORTEX_BACKENDS",
        "-e",
        "CORTEX_TECHNICAL_TOKEN",
        "ghcr.io/wellknownmcp/cortex-gateway:v0.2.0"
      ],
      "env": {
        "CORTEX_CANONICAL_URI": "your-value",
        "OAUTH_ISSUER": "your-value",
        "CORTEX_BACKENDS": "your-value",
        "CORTEX_TECHNICAL_TOKEN": "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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "cortex-gateway": {
      "type": "http",
      "url": "https://mcp.cortex-gateway.dev/mcp"
    }
  }
}

O ejecútalo en tu computadora

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "cortex-gateway": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CORTEX_CANONICAL_URI",
        "-e",
        "OAUTH_ISSUER",
        "-e",
        "CORTEX_BACKENDS",
        "-e",
        "CORTEX_TECHNICAL_TOKEN",
        "ghcr.io/wellknownmcp/cortex-gateway:v0.2.0"
      ],
      "env": {
        "CORTEX_CANONICAL_URI": "your-value",
        "OAUTH_ISSUER": "your-value",
        "CORTEX_BACKENDS": "your-value",
        "CORTEX_TECHNICAL_TOKEN": "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.

ChatGPT solo se conecta a servidores en internet:

  1. Abre ChatGPT en la web → Settings → Connectors (Apps)
  2. Presiona Create o Add (en algunos planes primero hay que activar Developer mode en Advanced)
  3. Pega la dirección de abajo, ponle un nombre y guarda
  4. Si te pide iniciar sesión, inicia sesión en el servicio del creador
SettingsConnectors1+ Create2https://…3
https://mcp.cortex-gateway.dev/mcp

Los nombres de los menús pueden variar un poco según el plan y con el tiempo.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Valores que debes completar

  • CORTEX_CANONICAL_URI obligatorio env
    Canonical MCP resource URI (RFC 9728)
  • OAUTH_ISSUER obligatorio env
    OAuth 2.1 authorization server URL
  • CORTEX_BACKENDS obligatorio env
    Comma-separated federated backend ids
  • CORTEX_TECHNICAL_TOKEN secreto obligatorio env
    Static token for backend catalog discovery

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub wellknownmcp, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    El endpoint responde

    Aún sin revisar; revisamos los endpoints por turnos

  • … Aún sin revisar

    Inicio de sesión con OAuth

    Aún sin revisar; revisamos los endpoints por turnos

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 32537 servidores de esta categoría
  • Publicado en el registro más recientemente que el 18% de los otros 32537 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32537 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Cortex Gateway?

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.

¿Qué claves o códigos necesita?

Debes completar: CORTEX_CANONICAL_URI, OAUTH_ISSUER, CORTEX_BACKENDS, CORTEX_TECHNICAL_TOKEN

¿Se ejecuta en mi computadora o en la nube?

Funciona de las dos formas: instálalo en tu computadora o conéctate a la versión en la nube.

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.2.0) llegó al registro hace 4 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, TF Rooms

Alternativas

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

Spec Driven Development

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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado ayer
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TF Rooms

de tfrooms.com

Live room availability, rates and stay quotes for 12 New Leaf motels in Twin Falls, Idaho.

Se ejecuta en la nubeActualizado hoy
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README del creador

Abrir el README

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.

Cortex Gateway

A federated MCP gateway: one spec-compliant, OAuth-protected MCP server in front of N plain-HTTP backends.

Your business apps stay ordinary web services. Each one exposes a single POST /api/cortex/backend endpoint (a ~120-line contract, no MCP library, no stdio). The gateway discovers their tools, merges them into one MCP catalog, enforces OAuth 2.1 + scopes, routes tools/call to the owning backend, and keeps a pseudonymized audit trail.

Built for one requirement: everyone in a company should be able to hand their own agent the keys — with exactly that person's rights, nothing more, nothing less. And when agents become autonomous assistants, the answer stays the same: the agent borrows the person's identity, the apps keep enforcing that person's rights. The gateway decides nothing, so there is nothing new to trust.

Put another way: zero-trust principles for AI agents — the missing link between your IAM (who your users are, what they may do) and the MCP ecosystem (how agents call tools). Not a full ZTNA product; the identity-and-access layer for agents.

A backend is a dedicated MCP reduced to its essence: a tool catalog plus tool invocation (and optional prompts/resources) over bare HTTP JSON-RPC — the transport and lifecycle machinery (initialize, sessions, SSE, version negotiation) lives once, in the gateway. Because the contract is a semantic subset of MCP, a native MCP server can also be federated through the built-in MCP→backend proxy adapter (docs/mcp-adapter.md).

[MCP agent: Claude Desktop / claude.ai Custom Connector / any MCP client]

│ HTTPS + OAuth 2.1 JWT (Bearer) ▼ [cortex-gateway] ←— thin gateway, no business logic │ HTTPS + the same JWT propagated (RFC 8707) ▼ [your backends] ←— domain owners, plain HTTP, own their ACLs

Why

  • Permissions match the underlying app, automatically, at the user level. The gateway never copies or mirrors permissions — it propagates the real user identity (your JWT to first-party backends, the user's own linked token to proxied third-party MCP servers), so each app's native permission model applies per user, with nothing to sync and no service-account flattening. Unlike hosted tool aggregators, the token vault and the audit trail stay on your infrastructure.
  • One perimeter, not N connectors. Wiring each app as its own MCP connector also keeps native permissions — and leaves you with N consents, N token stores, no shared audit, no cross-app entitlements, and a flooded tool list. The gateway collapses that to one OAuth surface without giving up the per-user model: aggregation without permission loss.
  • Zero MCP lock-in in your apps. Backends speak a minimal JSON-RPC contract over plain HTTP. Remove the gateway and you can still call them directly (tests, batch jobs, other integrations).
  • One JWT, N backends. The agent authenticates once; the gateway propagates the token; every backend re-validates it and applies its own permissions. Revocation at the authorization server cuts everything.
  • Failure isolation. An unreachable backend just disappears from tools/list; the rest keeps working.
  • Context-aware federation. Backend filtering and a compact "search" mode keep the tool catalog from flooding the agent's context (docs/tool-search-mode.md).
  • Agent feedback loop. Agents can file report_missing_capability tickets when a tool is missing or insufficient — deduplicated, triaged, optionally pushed to a webhook when blocking.

Use cases

Company-wide agent surface. An organization runs N internal apps (CRM, quality docs, billing, analytics...). Each app adds the ~120-line backend endpoint; the gateway exposes them as ONE MCP connector protected by the company's SSO. Employees plug a single URL into Claude Desktop / claude.ai and get exactly the tools their token scopes allow, with a central audit trail. This is the setup the gateway was born in.

Product builder. You ship several products and want agents (yours or your customers') to operate them. Instead of maintaining one MCP server per product, every product implements the backend contract and the gateway is your single, versioned, OAuth-protected agent API. Adding a product to the agent surface is one env var.

Thematic hub / curated registry. Run a gateway as a *topic* endpoint — e.g. "all open-data tools for domain X" — that federates several providers behind one URL with one token. The scope model gives you per-provider opt-in, get_help/get_snapshot give agents self-describing discovery, and the audit trail tells you what is actually used. Providers either speak the (deliberately tiny) backend contract natively, or — for off-the-shelf MCP servers — get fronted by the built-in MCP→backend proxy adapter (docs/mcp-adapter.md).

Free / paid tool tiers. Scopes are entitlements. Let your authorization server grant mcp:yourapp:basic to free users and mcp:yourapp:pro to paying ones (your billing webhook updates the grant): the gateway then shows and allows each caller exactly the tools of their plan — no paywall logic in the gateway or the backends, tools just declare their scope. Revocation and downgrades propagate through the normal OAuth chain.

Federating native MCP servers (adapter, beta)

The built-in MCP→backend proxy adapter lets a bundle mix contract backends and off-the-shelf native MCP servers (Canva, Figma, ...): the adapter is an MCP client downstream (initialize, sessions, SSE framing) and a plain backend upstream, so the gateway core does not change. Per-user downstream OAuth is handled by a token vault (AES-256-GCM at rest) and a linking flow (RFC 9728 discovery, Dynamic Client Registration, PKCE): each user consents once per provider, then agents are identified on the whole bundle with a single Cortex token. See docs/mcp-adapter.md for a worked "design bundle" example (Canva + Figma + your own backend).

Roadmap

  • Per-backend audiences — exchange the caller's token for one audienced to the target backend (RFC 8693), so a backend can no longer replay what it receives against the gateway (docs/security.md §6).
  • Tool annotations and provenance — carry readOnlyHint / destructiveHint from the backend contract into tools/list, mark results with their origin, and confirm writes.
  • 2026-07-28 completeness — subscriptions/listen for list-change notifications to stateless clients; backends are still called over the backend contract, unaffected by the client's protocol generation.
  • Machine identity for discovery — replace the static technical token with a client_credentials flow once your AS supports it.
  • Shared event bus / rate-limit store — for multi-instance deployments.

Features

  • MCP spec 2026-07-28 (stateless: server/discover, no session, Mcp-Method / Mcp-Name headers validated against the body, cache hints) and 2025-11-25 / 2025-06-18 (Streamable HTTP: initialize, GET SSE for listChanged notifications, DELETE session termination) on the same endpoint, chosen per request
  • Primitives: tools, resources (incl. URI templates), prompts
  • OAuth 2.1 resource server: JWKS verification, audience per resource (RFC 8707), protected-resource metadata (RFC 9728), optional RFC 7662 introspection for revocation
  • Scope-based visibility: agents only see (and can call) the tools their token scopes allow; scopes_supported in discovery is derived live from the federated catalog
  • Dynamic discovery: backends are polled every 60s; new tools appear without redeploying the gateway, with SSE tools/list_changed push
  • Builtins: whoami (aggregated identity across backends), find_tools, report_missing_capability, list_cortex_tickets, list_cortex_resources, read_cortex_resource, plus a self-describing cortex://architecture resource generated live
  • Audit trail: one JSON line per call on stdout (hashed email, hashed params) + optional PostgreSQL persistence with retention cron
  • Origin allow-list (anti DNS-rebinding), per-token rate limiting, optional pool sandbox
  • Checked against the official MCP conformance suite in CI, through a real OAuth path: 22 of 32 server scenarios pass; the other 10 exercise optional capabilities the gateway does not declare (completions, logging, subscriptions, progress, sampling, elicitation) — listed with the reason in scripts/conformance/baseline.yml

Quickstart (no OAuth server needed)

git clone https://github.com/wellknownmcp/cortex-gateway

cd cortex-gateway npm install

1. Start the demo backend (dependency-free)

node examples/demo-backend/server.mjs &

2. Configure the gateway

cat > .env.local <<'EOF' OAUTH_ISSUER=https://auth.example.com CORTEX_BACKENDS=demo CORTEX_BACKEND_DEMO_URL=http://127.0.0.1:4820 CORTEX_TECHNICAL_TOKEN=demo-technical-token CORTEX_DEV_BYPASS_TOKEN=dev-secret CORTEX_DEV_BYPASS_SCOPES=mcp:demo:read EOF

3. Run it

npm run dev

4. Talk MCP (dev bypass replaces the Bearer JWT locally)

curl -s http://localhost:3213/mcp \ -H 'Content-Type: application/json' \ -H 'X-Dev-Mode: dev-secret' \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | jq '.result.tools[].name'

→ whoami, ..., demo_get_help, demo_echo, demo_get_time

curl -s http://localhost:3213/mcp \ -H 'Content-Type: application/json' \ -H 'X-Dev-Mode: dev-secret' \ -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"demo_echo","arguments":{"message":"hello"}}}' | jq

In production you point OAUTH_ISSUER at your OAuth 2.1 authorization server (any server that issues RS256 JWTs with a JWKS endpoint and supports the scope claim), and MCP clients connect to https://your-host/mcp with a Bearer token whose aud is the gateway's canonical URI.

stdio bridge (for stdio-only clients and directory sandboxes)

The gateway is a remote Streamable HTTP server, but some MCP clients — and the Docker inspection harnesses of directories like Glama — only speak the stdio transport. scripts/stdio-bridge.mjs bridges the two: it boots the production build against an ephemeral local OAuth issuer (the real JWT verification path, no bypass), mints itself a short-lived token, and relays newline-delimited JSON-RPC between stdin/stdout and POST /mcp.

npm run build

npm run start:stdio # stdio MCP server on stdin/stdout

Self-granted scopes come from BRIDGE_SCOPES (gateway builtins need none); the gateway port from BRIDGE_GATEWAY_PORT (default 3213). Design notes and the gotchas (stdout purity, protocol-version negotiation, session echo): https://cortex-gateway.dev/guides/expose-http-mcp-server-over-stdio/.

Adding a backend

  1. Implement the contract in your app — one POST endpoint, list_tools + your tools (docs/backend-contract.md, reference implementation in examples/demo-backend/).
  2. Declare it:
   CORTEX_BACKENDS=demo,docs

CORTEX_BACKEND_DOCS_URL=http://127.0.0.1:4001

3. Done. The gateway discovers `docs_*` tools within 60s and pushes

tools/list_changed to connected clients.

Configuration

Solo se muestra el principio; lee el resto en el repo

Pregunta a PopNx