Render MCP

🚀 Deploying MCP Server on Render

Deploy directly to Render.com via an AI assistant.

This MCP (Model Context Protocol) server enables AI assistants like Claude to interact with the Render API, facilitating service deployment and management on Render.com.

✨ Features

• List all services in your Render account.
• Get detailed information about a specific service.
• Deploy services.
• Create new services.
• Delete services.
• Retrieve deployment history.
• Manage environment variables.
• Manage custom domains.

📦 Installation

npm install -g @niyogi/render-mcp

Configuration

1. Obtain your Render API key from the Render dashboard.
2. Configure the MCP server using the following command:

node bin/render-mcp.js configure --api-key=YOUR_API_KEY

Alternatively, run node bin/render-mcp.js configure without the --api-key flag to be prompted for the API key.

💻 Usage Examples

Starting the Server

node bin/render-mcp.js start

Checking Configuration

node bin/render-mcp.js config

Running Diagnostics

node bin/render-mcp.js doctor

Note: If you have installed the package globally, you can use shorter commands:

render-mcp start
render-mcp config
render-mcp doctor

Using with Different AI Assistants

Using with Cline

1. Add the following to your Cline MCP settings file:

{
  "mcpServers": {
    "render": {
      "command": "node",
      "args": ["/path/to/render-mcp/bin/render-mcp.js", "start"],
      "env": {
        "RENDER_API_KEY": "your-render-api-key"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

2. Restart Cline for the changes to take effect.
3. You can now interact with Render via Claude:

Claude, please deploy my web service to Render.

Using with Windsurf/Cursor

1. Install the render-mcp package:

npm install -g @niyogi/render-mcp

2. Configure the API key using the following command:

node bin/render-mcp.js configure --api-key=YOUR_API_KEY

3. Start the MCP server in another terminal:

node bin/render-mcp.js start

4. Add the Render MCP server to your Windsurf/Cursor settings:

• Server Name: render
• Server Type: stdio
• Command: node
• Arguments: ["/path/to/render-mcp/bin/render-mcp.js", "start"]

5. You can now use Render commands in the AI assistant.

Integrating with the Claude API

For applications directly using the Claude API:

1. Ensure the MCP server is running:

node bin/render-mcp.js start

2. Include the MCP server connection in the API request when your application sends a message to Claude:

{
  "mcpConnections": [
    {
      "name": "render",
      "transport": {
        "type": "stdio",
        "command": "node",
        "args": ["/path/to/render-mcp/bin/render-mcp.js", "start"]
      }
    }
  ]
}

3. Claude can now interact with your Render MCP server.

Example Prompts

Here are some example prompts you can use after connecting the MCP server:

• Create a new service.
• Delete a specified service.
• Get the deployment status of a specific service.

📚 Documentation

• Render Documentation: Render Documentation
• Render API: Render API