Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
MCP server that fronts any OpenAPI service: discover operations from its spec and call them
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"openapix": {
"command": "uvx",
"args": [
"mcp-openapix"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add openapix -- uvx mcp-openapixIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"openapix": {
"command": "uvx",
"args": [
"mcp-openapix"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"openapix": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-openapix"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto alyiox bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.2.1) kam vor 37 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Zoo MCP
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
An MCP server that provides access to the Zoo API for various CAD operations and tools.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
MCP server that fronts any OpenAPI service behind four generic tools.
An agent finds operations in each deployment's OpenAPI document and calls them; the server resolves the URL, obtains a bearer token, and builds the request. Discovery is list_platforms, list_endpoints and describe_endpoint; execution is the generic proxy call_endpoint.
example / us / items / prod
│ │ │ └── env ......... which deployment URL a call reaches │ │ └───────── service ..... one backend, one OpenAPI spec │ └─────────────── region ...... a geographic deployment └───────────────────── platform .... the product or API family
uvconfig.json describing the deployments you hold credentials forSet up your config (see Configuration), then run the server:
# Run directly with uvx (no clone needed)
npx -y @modelcontextprotocol/inspector@latest uvx mcp-openapix
# Or run from source
npx -y @modelcontextprotocol/inspector@latest uv run mcp-openapix
config.json MUST live at ~/.config/mcp-openapix/config.json (%USERPROFILE%\.config\… on Windows). config.example.json is a full template.
{
"headers": { "accept": "application/json" }, "defaults": { "platform": "example", "region": "us", "service": "items", "env": "prod" }, "platforms": { "example": { "regions": { "us": { "services": { "token_helper": "us", "items": { "desc": "Catalogue and inventory API", "spec_path": "/swagger/v1/swagger.json", "canonical_env": "prod", "envs": { "prod": { "url": "https://api.example.com/items" }, "dev": { "url": "https://api-dev.example.com/items" } } } } } } } }, "token_helpers": { "us": { "command": "token-helper", "args": ["issue"] } } }
platformsA hierarchy of platform → region → services → service → env. Each service declares:
| Field | Notes |
|---|---|
spec_path | Required. The OpenAPI JSON endpoint relative to the service URL |
canonical_env | Required when more than one env is configured — the env whose URL the spec is fetched from |
envs | Required. One entry per deployment environment, each carrying a full base url |
desc | Optional. A short description surfaced by list_platforms |
token_helper | Optional. The token helper this level binds to |
The services object may also contain a token_helper default applying to all services in that region. A service or environment can override it.
token_helpersNamed token helpers, in the same shape as an MCP server entry:
| Field | Required | Default | Notes |
|---|---|---|---|
command | yes | — | Resolved on PATH; never run through a shell |
args | no | [] | Passed verbatim |
timeout | no | 60 | Seconds before the helper's process group is killed; at most 300 |
The config names a command and nothing else, so config.json holds no secrets. The complete helper invocation and output contract is documented in docs/token-protocol.md.
Which helper a call uses is resolved most-specific-first:
env.token_helper → service.token_helper → services.token_helper
→ region.token_helper → platform.token_helper → defaults.token_helper
If no level declares a helper, the deployment is unauthenticated. Omit token_helper for public deployments.
headersConstant headers added to every API call — for APIs that require a tenant, product or locale header:
"headers": { "accept": "application/json", "x-product": "example" }
defaultsMakes every tool argument optional: a call falls back to defaults.platform, .region, .service, .env, .username and .token_helper when they are omitted.
| Field | Default | Notes |
|---|---|---|
truncate_threshold | 4096 | Response bytes returned inline before truncating to a preview |
response_cache_ttl | 3600 | Seconds a truncated body stays readable at its resource URI |
spec_refresh | {"auto": true, "interval": 7} | Background spec refresh; interval is days and MAY be fractional |
A stray comma while editing one platform takes down every platform: a parse failure precedes per-platform validation. The config MAY therefore be split into drop-in files under config.d/, in the style of an nginx conf.d. The recommended layout keeps server-wide settings in config.json and gives each platform its own file, named after it:
~/.config/mcp-openapix/
├── config.json # defaults, headers, token_helpers, top-level options └── config.d/ ├── acme.json # {"platforms": {"acme": …}} └── public.json # {"platforms": {"public": …}}
A typo then costs one platform, and a platform can be handed over, or removed, as a single file. Token helpers stay in config.json because they are usually shared across platforms; a helper only one platform uses MAY live beside it in that platform's file.
The layout is a convention, not a rule:
config.json is read first, then every *.json directly in config.d/ in sorted order. Subdirectories, .bak and editor swap files are ignored; no config.d/ means no change in behavior.config.json may, and config.json MAY be nearly empty.envs.prod.url or one defaults field.A file that fails to parse costs only what it declares; the rest keep working. A malformed platform, in any file, MUST NOT stop the others loading, and neither does a missing token helper it names: its error lists any files that were skipped, since the helper may be declared in one. list_platforms shows a platform that failed with no regions and the loader's error, and a skipped file as {"file", "error"}; calling into a failed platform returns the same message. Defaults that point into a failed platform are ignored. An invalid setting outside platforms still stops the server, and the message names the file that set it.
A fix needs a restart. Check the config first, without starting the server; it also lists every value a later file overrode:
uvx mcp-openapix --check-config
| Tool | Purpose |
|---|---|
list_platforms | Every platform with its regions, services, and envs |
list_endpoints | A service's operations, filtered by query, tag or method |
describe_endpoint | One operation plus the transitive closure of the schemas it references |
call_endpoint | Execute an operation, or a raw method + path absent from the spec |
Many OpenAPI documents omit operationId, so the server synthesizes one as " ":
POST /api/items
└─┬─┘ └───┬───┘ method path as the spec declares it
Where a spec does declare an operationId, that value wins.
Specs are not bundled. Each deployment's document is fetched on demand — an unauthenticated GET — and cached under ~/.cache/mcp-openapix/{platform}/{region}/{service}.json.
A document MUST declare at least one operation before it is installed, so a deployment answering 200 with an error body cannot replace a working snapshot with one that serves nothing.
Cached specs refresh in the background: once at startup, then every spec_refresh.interval days. Set auto to false to stop it; the manual lever still works:
uvx mcp-openapix --refresh
| Resource URI | Description |
|---|---|
openapi://responses/{request_id} | Full body of a truncated call_endpoint response |
openapi://curl/{request_id} | Equivalent curl command for a call_endpoint request |
Both expire response_cache_ttl seconds after the call. The curl command may embed a short-lived token.
Tokens are cached in memory and, when expiry metadata is available, under ~/.cache/mcp-openapix/tokens/ (mode 0600) keyed by the token-helper declaration and username. This lets client sessions share a login without spawning a helper each. A 401 retires the cached token so the next call obtains a fresh one. To clear them all:
uvx mcp-openapix --logout
Cursor / Claude Code
{
"mcpServers": { "openapi": { "command": "uvx", "args": ["mcp-openapix"] } } }
Codex
[mcp_servers.openapi]
command = "uvx" args = ["mcp-openapix"]
uv sync --extra dev
uv run ruff check . uv run ruff format --check . uv run pyright uv run pytest
All four MUST pass; see AGENTS.md. Tests use respx to mock HTTP and real subprocesses for token helpers, so no live API access is required.
MIT.