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MCP Server — AI agent toolkit for building and deploying full-stack apps","maintainers":[{"name":"lorengarcialv25","email":"lorengarcia098@gmail.com"}],"readme":"# DYPAI MCP Local\n\nPaquete npm **`@dypai-ai/mcp`**: servidor MCP **stdio** que corre en Cursor (o el Studio worker) y da al agente acceso a DYPAI.\n\nRepositorio: [DYPAI-SOLUTIONS/dypai-mcp-local](https://github.com/DYPAI-SOLUTIONS/dypai-mcp-local)\n\n## Qué hace\n\n| Capa | Dónde corre | Responsabilidad |\n|------|-------------|-----------------|\n| **Local** (este repo) | IDE / worker stdio | Tools con acceso a disco: `dypai_pull`, `dypai_push`, `dypai_validate`, deploy, diff… |\n| **Cloud** ([dypai-mcp-cloud](../dypai-mcp-cloud/)) | HTTP remoto | SQL, endpoints, credenciales, docs, billing — vía proxy |\n| **Core API** | `:8005` | Control plane para frontend deploy, algunas escrituras |\n\nEl agente ve **un solo servidor MCP** (`dypai`). Las tools cloud se reenvían por HTTP a mcp-cloud.\n\n## Setup para desarrolladores (Cursor)\n\n### 1. Obtener un MCP token\n\nDashboard DYPAI → organización → **MCP tokens** → crear token con acceso al proyecto.\n\n### 2. Configurar Cursor\n\nEdita `~/.cursor/mcp.json` (macOS/Linux) o `%USERPROFILE%\\.cursor\\mcp.json` (Windows):\n\n```json\n{\n  \"mcpServers\": {\n    \"dypai\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@dypai-ai/mcp@latest\"],\n      \"env\": {\n        \"DYPAI_TOKEN\": \"tu-mcp-token-aqui\"\n      }\n    }\n  }\n}\n```\n\nReinicia Cursor por completo.\n\n### 3. Desarrollo local contra cloud/API locales\n\nSi trabajas con MCP cloud y Core API en tu máquina:\n\n```json\n{\n  \"mcpServers\": {\n    \"dypai\": {\n      \"command\": \"node\",\n      \"args\": [\"/ruta/absoluta/a/dypai-mcp-local/src/index.js\"],\n      \"env\": {\n        \"DYPAI_TOKEN\": \"tu-mcp-token\",\n        \"DYPAI_MCP_URL\": \"http://localhost:8009\",\n        \"DYPAI_API_URL\": \"http://localhost:8005\",\n        \"DYPAI_NO_AUTOUPDATE\": \"1\"\n      }\n    }\n  }\n}\n```\n\nLevanta antes: [Core API](../api/README.md) `:8005` y [MCP cloud](../dypai-mcp-cloud/README.md) `:8009`.\n\n## Variables de entorno\n\nPlantilla: [`.env.example`](./.env.example)\n\n| Variable | Default | Descripción |\n|----------|---------|-------------|\n| `DYPAI_TOKEN` | — | **Obligatorio.** MCP token Bearer |\n| `DYPAI_MCP_URL` | `https://mcp.dypai.dev` | URL base del MCP cloud |\n| `DYPAI_API_URL` | `https://dyapi.dypai.dev` | Core API (deploy frontend, etc.) |\n| `DYPAI_MCP_PROFILE` | `local` | `local` \\| `studio-worker` \\| `studio-debug` |\n| `DYPAI_PROJECT_ID` | — | En Studio worker: fija el proyecto |\n| `DYPAI_NO_AUTOUPDATE` | — | `1` desactiva auto-update npm al arrancar |\n| `DYPAI_NO_GZIP` | — | `1` si la API local no acepta gzip en bodies |\n\n## Refresco seguro de `schema.sql` (DYP-377)\n\nTras un DDL de tablas o vistas, el MCP puede actualizar el esquema local de\nreferencia. Usa el workspace seleccionado con la misma precedencia que pull/push\ny exige que `dypai.config.yaml` corresponda al proyecto ejecutado. Si falta esa\nidentidad o no coincide, no consulta el dump ni sobrescribe archivos: devuelve\n`schema_refresh_warning` sin cambiar el resultado de un SQL ya aplicado. Selecciona\nel workspace correcto y ejecuta `dypai_pull` para reconciliarlo.\n\nNo busca otro proyecto en carpetas alternativas. Un fallo del dump conserva el\narchivo anterior; la sustitución es atómica y no sigue enlaces de `schema.sql`.\nEste archivo sigue siendo una referencia para validación, **no un backup**.\n\n## Perfiles de tools\n\nDefinidos en `src/toolProfiles.js`:\n\n| Perfil | Uso | Tools |\n|--------|-----|-------|\n| `local` | Cursor del desarrollador | Catálogo completo menos tools removidas + ship (`dypai_push`, deploy…) |\n| `studio-worker` | Builder agent en Studio | Allowlist reducida (SQL, validate, storage, docs…) |\n| `studio-debug` | Debug Studio | Worker + extras de diagnóstico |\n\nInstrucciones del agente (`initialize` → `instructions`): [`prompts/`](./prompts/) — ver [`prompts/README.md`](./prompts/README.md).\n\nTras editar prompts:\n\n```bash\nnpm run build   # regenera src/generated/serverInstructions.js\n```\n\n## Estructura del código\n\n| Ruta | Qué hay |\n|------|---------|\n| `src/index.js` | Entry point stdio MCP |\n| `src/tools/proxy.js` | Cliente HTTP → mcp-cloud |\n| `src/tools/sync/` | pull, push, validate, diff, generate-types |\n| `src/tools/frontend.js` | manage_frontend, dypai_pull (Git/Studio) |\n| `src/tools/deploy.js` | Deploy producción |\n| `src/toolProfiles.js` | Allowlists por perfil |\n| `prompts/local.md` | Doctrina agente (perfil local) |\n| `prompts/studio-worker.md` | Doctrina Studio worker |\n\n## Desarrollo en el monorepo\n\n```bash\ncd dypai-mcp-local\n\nnpm install\nnpm run build          # embed prompts\n\n# Smoke contra cloud local\nexport DYPAI_TOKEN=\"...\"\nexport DYPAI_MCP_URL=\"http://localhost:8009\"\nnode test-against-local.js\n```\n\nTests adicionales en la raíz: `test-*.js` (requieren `~/.dypai/credentials.json` o env vars).\n\n## Flujo mental del agente (local profile)\n\nDocumentado en `prompts/local.md` y en `AGENTS.md` del monorepo:\n\n1. **Backend** (`dypai/`): editar `flows/*.flow.ts` → `dypai_validate` → `dypai_generate_types` → `dypai_push` (draft) → `manage_drafts(publish)`\n2. **Frontend** (`src/`): editar → `manage_frontend(deploy)` (Studio + prod)\n\nPublicar backend **antes** que frontend si cambian contratos de API.\n\n## Publicar en npm\n\n```bash\nnpm run build\nnpm publish\n```\n\nEl paquete publicado solo incluye `src/` (prompts embebidos en `serverInstructions.js`).\n\n## Docs relacionadas\n\n- MCP cloud: [`../dypai-mcp-cloud/README.md`](../dypai-mcp-cloud/README.md)\n- Core API: [`../api/README.md`](../api/README.md)\n- Prompts: [`prompts/README.md`](./prompts/README.md)\n- Monorepo agent instructions: [`../AGENTS.md`](../AGENTS.md)\n","readmeFilename":"README.md"}