Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Code generation from JSON recipes, linked type graphs, and API schemas across 11 languages.
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.
METAENGINE_API_URLNecesitas
¿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": {
"metaengine": {
"command": "npx",
"args": [
"-y",
"@metaengine/mcp-server"
],
"env": {
"METAENGINE_API_URL": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add metaengine --env METAENGINE_API_URL=your-value -- npx -y @metaengine/mcp-serverCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"metaengine": {
"command": "npx",
"args": [
"-y",
"@metaengine/mcp-server"
],
"env": {
"METAENGINE_API_URL": "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": {
"metaengine": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@metaengine/mcp-server"
],
"env": {
"METAENGINE_API_URL": "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.
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.
METAENGINE_API_URL envEsta 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 6 nov 2026
El nombre en el registro se verificó con el dominio metaengine.eu (el registro comprueba quién es dueño del dominio)
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 (1.5.0) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, topo^alpin
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.
Avalanche bulletins and mountain weather forecasts for any place in the Alps.
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.
Generate related source files from a type graph, a compact JSON recipe, or an API schema through your MCP client.
MetaEngine combines structured classes, interfaces, enums, collections, and generics with target-language code supplied in customCode. Explicit references connect that code to the same type graph, so the generator can resolve names and imports across the batch. Use it for models, services, adapters, or other structures you describe; the format does not prescribe an application architecture.
Node.js 18 or later is required. Add the server to your MCP client's configuration:
{
"mcpServers": { "metaengine": { "command": "npx", "args": ["-y", "@metaengine/mcp-server@1.5.0"] } } }
For Claude Code:
claude mcp add metaengine -- npx -y @metaengine/mcp-server@1.5.0
The hosted service requires no API key or account. MCP clients include Claude Code, Claude Desktop, Cursor, Cline, and others with stdio support.
Call generate_from_recipe with these arguments:
{
"recipe": { "recipeVersion": 1, "language": "typescript", "typeScriptOptions": { "relativeImportExtension": "js" }, "classes": [ { "name": "Customer", "id": "customer", "properties": { "id": "string", "name": "string" } }, { "name": "Order", "properties": { "customer": { "ref": "customer" }, "total": "number", "note?": "string" } } ] }, "outputPath": "src/models" }
The local MCP server expands the recipe into the existing generation payload, sends that payload to the MetaEngine API, and writes the returned files. Add named templates and parameter rows when structures repeat. Existing customCode, templateRefs, imports, decorators, inheritance, and generic definitions remain available.
A version-controlled recipe can be invoked with {"recipeFilePath":"specs/models.recipe.json"}. Reading a file avoids resending its contents in the tool call. Files still need to be authored or maintained.
Recipe grammar and examples · Generation guide · Language examples
| Tool | Purpose |
|---|---|
generate_from_recipe | Expand compact JSON fields, named templates, and local JSON input rows into the existing type graph, then generate files. |
generate_code | Generate from the complete native JSON type graph, including arbitrary target-language code with explicit references. |
load_spec_from_file | Read a native generate_code payload from a local JSON file. |
generate_openapi | Generate a typed client from an OpenAPI document supplied inline or by URL. |
generate_graphql | Generate a typed client from GraphQL SDL, with optional named fragments. |
generate_protobuf | Generate a typed client from Protocol Buffers definitions. |
generate_sql | Generate model types from SQL DDL. |
metaengine_initialize | Load generation rules and language notes for the assistant. |
Type and model generation supports TypeScript, Python, Go, C#, Java, Kotlin, Groovy, Scala, Swift, PHP, and Rust. Client generation targets Angular, React, TypeScript Fetch, Go net/http, Java Spring, Python httpx, C# HttpClient, Kotlin Ktor, Rust Reqwest, and Swift URLSession.
generate_code, load_spec_from_file, and generate_from_recipe share generation and file-writing behavior:
outputPath chooses the local output directory; the default is the MCP server's working directory.skipExisting defaults to true. Set it to false to overwrite generated files.dryRun: true returns generated file contents without writing them. Generation still calls the hosted API.For Node16/NodeNext TypeScript ESM, use typeScriptOptions: {"relativeImportExtension":"js"}. Other TypeScript output retains extensionless relative imports by default.
Field maps remove repeated property metadata. Templates describe repeated structure once and bind explicit parameter values. Local JSON inputs can supply those values from a file you already maintain. The adapter executes no JavaScript from a recipe.
Savings depend on the amount of repetition, the chosen model and tokenizer, and the surrounding agent workflow. Custom business logic still needs to be written. A recorded development fixture compares a 59-interface recipe with its expanded payload; it measures JSON bytes, not model tokens or usage-limit guarantees.
The compact format keeps one readable path for common declarations and the existing native fields for advanced code. Native type expressions and customCode remain specific to their target language. Review and compile generated code in your project, including its dependencies and compiler settings.
The local MCP server runs over stdio and performs recipe expansion, declared local file reads, and generated-file writes. The hosted MetaEngine API performs ephemeral processing of the expanded generation payload and returns source files.
The server does not automatically scan or upload existing project source files. Source or customCode content explicitly included in a generation request is part of that request and is sent to the hosted MetaEngine API. Values read from recipe inputs are included only when the recipe uses them in the expanded payload.
Submitted generation content and generated file contents are not persisted or logged; anonymous operational metadata is retained. See the Privacy Policy and Terms for the processing and retention details.
A single MCP call can produce many files, reducing required tool operations. Model responses are a separate measure: in the recorded TypeScript runs Opus often issued one Write per response, while Sonnet usually batched the Writes. The corrected benchmark findings separate those counts and retain output-token totals and pass rates.
For reproducible measurements across languages, models, and spec shapes, see benchmark/ — a self-contained harness with the prompts, judging tools, and 15 canonical result folders. Numbers there are illustrations from one author's runs at N=5 per cell; reproduce in your own environment to see what holds for you.
MIT
This repository contains public documentation, examples, benchmarks, and issue tracking for MetaEngine MCP Server. The compiled npm package is available at @metaengine/mcp-server. The server implementation is maintained in a private repository.