Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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.
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.
CORTEX_CANONICAL_URI, OAUTH_ISSUER, CORTEX_BACKENDS, CORTEX_TECHNICAL_TOKENLos 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:
https://mcp.cortex-gateway.dev/mcpAbre 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/mcpclaude 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:v0.2.0Completa los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"cortex-gateway": {
"url": "https://mcp.cortex-gateway.dev/mcp"
}
}
}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.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"cortex-gateway": {
"type": "http",
"url": "https://mcp.cortex-gateway.dev/mcp"
}
}
}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:
https://mcp.cortex-gateway.dev/mcpLos 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.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
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 wellknownmcp, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
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: CORTEX_CANONICAL_URI, OAUTH_ISSUER, CORTEX_BACKENDS, CORTEX_TECHNICAL_TOKEN
Funciona de las dos formas: instálalo en tu computadora o conéctate a la versión en la nube.
El repo de GitHub cambió por última vez –, y la última versión (0.2.0) llegó al registro hace 4 meses.
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.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, TF Rooms
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Live room availability, rates and stay quotes for 12 New Leaf motels in Twin Falls, Idaho.
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 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
tools/list; the rest keeps working.report_missing_capability tickets when a tool is missing or insufficient — deduplicated, triaged, optionally pushed to a webhook when blocking.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.
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).
readOnlyHint / destructiveHint from the backend contract into tools/list, mark results with their origin, and confirm writes.subscriptions/listen for list-change notifications to stateless clients; backends are still called over the backend contract, unaffected by the client's protocol generation.client_credentials flow once your AS supports it.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 requestscopes_supported in discovery is derived live from the federated catalogtools/list_changed pushwhoami (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 livegit clone https://github.com/wellknownmcp/cortex-gateway
cd cortex-gateway npm install
node examples/demo-backend/server.mjs &
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
npm run dev
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'
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.
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/.
list_tools + your tools (docs/backend-contract.md, reference implementation in examples/demo-backend/). 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.
Solo se muestra el principio; lee el resto en el repo