render-deploy

What this skill does

# Deploy to Render

Render supports **Git-backed** services and **prebuilt Docker image** services.

This skill covers **Git-backed** flows:
1. **Blueprint Method** - Generate render.yaml for Infrastructure-as-Code deployments
2. **Direct Creation** - Create services instantly via MCP tools

Blueprints can also run a **prebuilt Docker image** by using `runtime: image`, but the `render.yaml` still must live in a Git repo.

If there is no Git remote, stop and ask the user to either:
- Create/push a Git remote (can be minimal if only the Blueprint is needed), or
- Use the Render Dashboard/API to deploy a prebuilt Docker image (MCP cannot create image-backed services).

## Prerequisites

- When sandboxing blocks the deployment network calls, rerun with `sandbox_permissions=require_escalated`.
- The deployment might take a few minutes. Use appropriate timeout values.

## When to Use This Skill

Activate this skill when users want to:
- Deploy an application to Render
- Create a render.yaml Blueprint file
- Set up Render deployment for their project
- Host or publish their application on Render's cloud platform
- Create databases, cron jobs, or other Render resources

## Happy Path (New Users)

Use this short prompt sequence before deep analysis to reduce friction:
1. Ask whether they want to deploy from a Git repo or a prebuilt Docker image.
2. Ask whether Render should provision everything the app needs (based on what seems likely from the user's description) or only the app while they bring their own infra. If dependencies are unclear, ask a short follow-up to confirm whether they need a database, workers, cron, or other services.

Then proceed with the appropriate method below.

## Choose Your Source Path

**Git Repo Path:** Required for both Blueprint and Direct Creation. The repo must be pushed to GitHub, GitLab, or Bitbucket.

**Prebuilt Docker Image Path:** Supported by Render via image-backed services. This is **not** supported by MCP; use the Dashboard/API. Ask for:
- Image URL (registry + tag)
- Registry auth (if private)
- Service type (web/worker) and port

If the user chooses a Docker image, guide them to the Render Dashboard image deploy flow or ask them to add a Git remote (so you can use a Blueprint with `runtime: image`).

## Choose Your Deployment Method (Git Repo)

Both methods require a Git repository pushed to GitHub, GitLab, or Bitbucket. (If using `runtime: image`, the repo can be minimal and only contain `render.yaml`.)

| Method | Best For | Pros |
|--------|----------|------|
| **Blueprint** | Multi-service apps, IaC workflows | Version controlled, reproducible, supports complex setups |
| **Direct Creation** | Single services, quick deployments | Instant creation, no render.yaml file needed |

### Method Selection Heuristic

Use this decision rule by default unless the user requests a specific method. Analyze the codebase first; only ask if deployment intent is unclear (e.g., DB, workers, cron).

**Use Direct Creation (MCP) when ALL are true:**
- Single service (one web app or one static site)
- No separate worker/cron services
- No attached databases or Key Value
- Simple env vars only (no shared env groups)
If this path fits and MCP isn't configured yet, stop and guide MCP setup before proceeding.

**Use Blueprint when ANY are true:**
- Multiple services (web + worker, API + frontend, etc.)
- Databases, Redis/Key Value, or other datastores are required
- Cron jobs, background workers, or private services
- You want reproducible IaC or a render.yaml committed to the repo
- Monorepo or multi-env setup that needs consistent configuration

If unsure, ask a quick clarifying question, but default to Blueprint for safety. For a single service, strongly prefer Direct Creation via MCP and guide MCP setup if needed.

## Prerequisites Check

When starting a deployment, verify these requirements in order:

**1. Confirm Source Path (Git vs Docker)**

If using Git-based methods (Blueprint or Direct Creation), the repo must be pushed to GitHub/GitLab/Bitbucket. Blueprints that reference a prebuilt image still require a Git repo with `render.yaml`.

```bash
git remote -v
```

- If no remote exists, stop and ask the user to create/push a remote **or** switch to Docker image deploy.

**2. Check MCP Tools Availability (Preferred for Single-Service)**

MCP tools provide the best experience. Check if available by attempting:
```
list_services()
```

If MCP tools are available, you can skip CLI installation for most operations.

**3. Check Render CLI Installation (for Blueprint validation)**
```bash
render --version
```
If not installed, offer to install:
- macOS: `brew install render`
- Linux/macOS: `curl -fsSL https://raw.githubusercontent.com/render-oss/cli/main/bin/install.sh | sh`

**4. MCP Setup (if MCP isn't configured)**

If `list_services()` fails because MCP isn't configured, ask whether they want to set up MCP (preferred) or continue with the CLI fallback. If they choose MCP, ask which AI tool they're using, then provide the matching instructions below. Always use their API key.

### Cursor

Walk the user through these steps:

1) Get a Render API key:
```
https://dashboard.render.com/u/*/settings#api-keys
```

2) Add this to `~/.cursor/mcp.json` (replace `<YOUR_API_KEY>`):
```json
{
  "mcpServers": {
    "render": {
      "url": "https://mcp.render.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}
```

3) Restart Cursor, then retry `list_services()`.

### Claude Code

Walk the user through these steps:

1) Get a Render API key:
```
https://dashboard.render.com/u/*/settings#api-keys
```

2) Add the MCP server with Claude Code (replace `<YOUR_API_KEY>`):
```bash
claude mcp add --transport http render https://mcp.render.com/mcp --header "Authorization: Bearer <YOUR_API_KEY>"
```

3) Restart Claude Code, then retry `list_services()`.

### Codex

Walk the user through these steps:

1) Get a Render API key:
```
https://dashboard.render.com/u/*/settings#api-keys
```

2) Set it in their shell:
```bash
export RENDER_API_KEY="<YOUR_API_KEY>"
```

3) Add the MCP server with the Codex CLI:
```bash
codex mcp add render --url https://mcp.render.com/mcp --bearer-token-env-var RENDER_API_KEY
```

4) Restart Codex, then retry `list_services()`.

### Other Tools

If the user is on another AI app, direct them to the Render MCP docs for that tool's setup steps and install method.

### Workspace Selection

After MCP is configured, have the user set the active Render workspace with a prompt like:

```
Set my Render workspace to [WORKSPACE_NAME]
```

**5. Check Authentication (CLI fallback only)**

If MCP isn't available, use the CLI instead and verify you can access your account:
```bash
# Check if user is logged in (use -o json for non-interactive mode)
render whoami -o json
```

If `render whoami` fails or returns empty data, the CLI is not authenticated. The CLI won't always prompt automatically, so explicitly prompt the user to authenticate:

If neither is configured, ask user which method they prefer:
- **API Key (CLI)**: `export RENDER_API_KEY="rnd_xxxxx"` (Get from https://dashboard.render.com/u/*/settings#api-keys)
- **Login**: `render login` (Opens browser for OAuth)

**6. Check Workspace Context**

Verify the active workspace:
```
get_selected_workspace()
```

Or via CLI:
```bash
render workspace current -o json
```

To list available workspaces:
```
list_workspaces()
```

If user needs to switch workspaces, they must do so via Dashboard or CLI (`render workspace set`).

Once prerequisites are met, proceed with deployment workflow.

---

# Method 1: Blueprint Deployment (Recommended for Complex Apps)

## Blueprint Workflow

### Step 1: Analyze Codebase

Analyze the codebase to determine framework/runtime, build and start commands, required env vars, datastores, and port binding. Use the detailed checklists in [references/codebase-analysis.md](references/codebase-analysis.md).

### Step 2: Generate r