Direct Creation (MCP) Details

Use this reference for MCP direct-creation examples and follow-on configuration.

Direct Creation Workflow

Step 1: Analyze Codebase

Use codebase-analysis.md to determine runtime, build/start commands, env vars, and datastores.

Step 2: Create Resources via MCP

Create a Web Service:

create_web_service(
  name: "my-api",
  runtime: "node",  # or python, go, rust, ruby, elixir, docker
  repo: "https://github.com/username/repo",
  branch: "main",  # optional, defaults to repo default branch
  buildCommand: "npm ci",
  startCommand: "npm start",
  plan: "free",  # free, starter, standard, pro, pro_max, pro_plus, pro_ultra
  region: "oregon",  # oregon, frankfurt, singapore, ohio, virginia
  envVars: [
    {"key": "NODE_ENV", "value": "production"}
  ]
)

Create a Static Site:

create_static_site(
  name: "my-frontend",
  repo: "https://github.com/username/repo",
  branch: "main",
  buildCommand: "npm run build",
  publishPath: "dist",  # or build, public, out
  envVars: [
    {"key": "VITE_API_URL", "value": "https://api.example.com"}
  ]
)

Create a Cron Job:

create_cron_job(
  name: "daily-cleanup",
  runtime: "node",
  repo: "https://github.com/username/repo",
  schedule: "0 0 * * *",  # Daily at midnight (cron syntax)
  buildCommand: "npm ci",
  startCommand: "node scripts/cleanup.js",
  plan: "free"
)

Create a PostgreSQL Database:

create_postgres(
  name: "myapp-db",
  plan: "free",  # free, basic_256mb, basic_1gb, basic_4gb, pro_4gb, etc.
  region: "oregon"
)

Create a Key-Value Store (Redis):

create_key_value(
  name: "myapp-cache",
  plan: "free",  # free, starter, standard, pro, pro_plus
  region: "oregon",
  maxmemoryPolicy: "allkeys_lru"  # eviction policy
)

Step 3: Configure Environment Variables

After creating services, add environment variables:

update_environment_variables(
  serviceId: "<service-id-from-creation>",
  envVars: [
    {"key": "DATABASE_URL", "value": "<connection-string>"},
    {"key": "JWT_SECRET", "value": "<secret-value>"},
    {"key": "API_KEY", "value": "<api-key>"}
  ]
)

Note: For database connection strings, get the internal URL from the database details in Dashboard or via get_postgres(postgresId: "<id>").

Step 4: Verify Deployment

Services with autoDeploy: "yes" (default) will deploy automatically when created.

Check deployment status:

list_deploys(serviceId: "<service-id>", limit: 1)

Monitor logs for errors:

list_logs(resource: ["<service-id>"], level: ["error"], limit: 50)

Check health metrics:

get_metrics(
  resourceId: "<service-id>",
  metricTypes: ["http_request_count", "cpu_usage", "memory_usage"]
)