
An unofficial MCP server for Render to help developers ship code faster via Cline, Cursor, and Windsurf
概览
Deploy to Render.com directly through AI assistants. This MCP (Model Context Protocol) server allows AI assistants like Claude to interact with the Render API, enabling deployment and management of services on Render.com. This server covers everything Render's official MCP server does mutating operations their server intentionally omits (triggering deploys, deleting resources, managing custom domains, restarting, and cancelling deploys). - List all services and get details of a specific service - Create services: generic create_service plus typed create_web_service, create_static_site, and create_cron_job - Deploy, restart, and delete services - Manage environment variables and custom domains - Get deployment history, get a single deploy, and cancel an in-progress deploy - List workspaces, get workspace details, and select a default workspace so create/logs/metrics tools don't need an ownerId each call - List and filter logs (list_logs) and enumerate log label values - Fetch...
README
以下为原文 README 节选,完整内容请查看原文。
Render MCP Server
Deploy to Render.com directly through AI assistants.
This MCP (Model Context Protocol) server allows AI assistants like Claude to interact with the Render API, enabling deployment and management of services on Render.com.
Features
This server covers everything Render’s official MCP server does plus mutating operations their server intentionally omits (triggering deploys, deleting resources, managing custom domains, restarting, and cancelling deploys).
Services
- List all services and get details of a specific service
- Create services: generic
create_serviceplus typedcreate_web_service,create_static_site, andcreate_cron_job - Deploy, restart, and delete services
- Manage environment variables and custom domains
Deploys
- Get deployment history, get a single deploy, and cancel an in-progress deploy
Workspaces
- List workspaces, get workspace details, and select a default workspace so
create/logs/metrics tools don’t need an
ownerIdeach call
Observability
- List and filter logs (
list_logs) and enumerate log label values - Fetch performance metrics (
get_metrics): CPU, memory, HTTP requests/latency, bandwidth, instance count, active connections
Datastores
- Postgres: list, get, create, and run read-only SQL queries (
query_render_postgres) - Key Value (Redis): list, get, and create instances
Note on
query_render_postgres: this tool connects to your database using thepgdriver and enforces read-only access (single statement,SELECT/WITH/EXPLAIN/SHOWonly, run inside aREAD ONLYtransaction). Runnpm installafter installing the package to ensure thepgdependency is present.
Installation
npm install -g @niyogi/render-mcp
Configuration
- Get your Render API key from Render Dashboard
- Configure the MCP server with your key:
node bin/render-mcp.js configure --api-key=YOUR_API_KEY
Alternatively, you can run node bin/render-mcp.js configure without the --api-key flag to be prompted for your API key.
Usage
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’ve installed the package globally, you can also use the shorter commands:
render-mcp start
render-mcp config
render-mcp doctor
Using with Different AI Assistants
Using with Claude Code
The quickest way is the claude mcp add CLI, which registers the server via npx
(no global install needed):
claude mcp add render -e RENDER_API_KEY=YOUR_API_KEY -- npx -y @niyogi/render-mcp start
By default this adds the server to the current project. Use a scope flag to change that:
-s user— available across all your projects
安装
npx -y @niyogi/render-mcp start配置
{
"mcpServers": {
"render": {
"command": "npx",
"args": ["-y", "@niyogi/render-mcp", "start"],
"env": {
"RENDER_API_KEY": "YOUR_API_KEY"
}
}
}
}