Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
MCP server that fronts any OpenAPI service: discover operations from its spec and call them
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.
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": {
"openapix": {
"command": "uvx",
"args": [
"mcp-openapix"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add openapix -- uvx mcp-openapixPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"openapix": {
"command": "uvx",
"args": [
"mcp-openapix"
]
}
}
}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": {
"openapix": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-openapix"
]
}
}
}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.
Esta 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 alyiox, 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.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
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 (0.2.1) llegó al registro hace 38 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, FactLot
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.
Cited CRE facts and deterministic calculators for agents: rent, CAM, debt sizing, IRR, parcel IDs.
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.
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.