Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Self-hosted federated MCP gateway: one OAuth 2.1 MCP server in front of N apps, user-level scopes.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
CORTEX_CANONICAL_URI, OAUTH_ISSUER, CORTEX_BACKENDS, CORTEX_TECHNICAL_TOKEN비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mcp.cortex-gateway.dev/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"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"
}
}
}
}터미널에서 이 명령어를 실행하세요
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:v0.2.0실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"cortex-gateway": {
"url": "https://mcp.cortex-gateway.dev/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"cortex-gateway": {
"type": "http",
"url": "https://mcp.cortex-gateway.dev/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mcp.cortex-gateway.dev/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 wellknownmcp 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: CORTEX_CANONICAL_URI, OAUTH_ISSUER, CORTEX_BACKENDS, CORTEX_TECHNICAL_TOKEN
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.2.0)은 4개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Toggl 2.0
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
Toggl 2.0 MCP server for tasks, projects, time entries, and workspace operations.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요