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niyogi/render-mcp

开发工具

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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_service plus typed create_web_service, create_static_site, and create_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 ownerId each 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 the pg driver and enforces read-only access (single statement, SELECT/WITH/ EXPLAIN/SHOW only, run inside a READ ONLY transaction). Run npm install after installing the package to ensure the pg dependency is present.

Installation

npm install -g @niyogi/render-mcp

Configuration

  1. Get your Render API key from Render Dashboard
  2. 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
在 GitHub 查看完整 README

安装

npx -y @niyogi/render-mcp start
新手?先看 mcpskill.org 教程 →

配置

{ "mcpServers": { "render": { "command": "npx", "args": ["-y", "@niyogi/render-mcp", "start"], "env": { "RENDER_API_KEY": "YOUR_API_KEY" } } } }