Render Connector for AI agents.
9 live capabilities
Manage your PaaS infrastructure and cloud deployments through natural conversation.
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Why people use Render
Stop Tab-Hopping with Render PaaS Infrastructure Management
With this Connector, you just tell your AI agent what needs to happen. You can list your services, check your environment variables, or trigger a clear-cache deploy directly from your editor. You get your production environment back under control without ever leaving your workspace.
What Vinkius changes
You get a voice-controlled dashboard for your entire Render infrastructure.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Handling a traffic spike
An engineer asks the agent to scale the API worker to 10 instances to handle a sudden influx of users.
- Real-world use case 02
Debugging a failed build
A developer tells the agent to trigger a fresh deploy and clear the cache after a CI/CD failure.
- Real-world use case 03
Cost saving for weekends
A manager asks the agent to suspend all staging workers on Friday evening to stop unnecessary billing.
Complete set · 9capabilities
The complete Render capability set.
These are the exact actions your AI can choose when you ask it to work with Render.
01—03
3 capabilities in this set.
Part of 9 available through Render.
- 01 Capability
Create deploy
Trigger a new deployment for a specific service. You can also use this to clear the cache during a rollout.
- 02 Capability
Get service
Pull the specific details for a single Render service. This helps you confirm the current status and configuration of an app.
- 03 Capability
List custom domains
See all custom domains linked to a service. Use this to verify your public URLs are correctly mapped.
04—06
3 capabilities in this set.
Part of 9 available through Render.
- 04 Capability
List deploys
View the deployment history for a particular service. This lets you track previous builds and their success states.
- 05 Capability
List env vars
Get a list of environment variables for a service. This is perfect for checking secrets without leaving your terminal.
- 06 Capability
List services
List every service in your Render account. Use this to get a high-level overview of your entire infrastructure.
07—09
3 capabilities in this set.
Part of 9 available through Render.
- 07 Capability
Resume service
Bring a suspended service back online. This is useful for restarting workers after a maintenance window.
- 08 Capability
Scale service
Adjust the horizontal scaling of your services. Use this to handle traffic spikes or reduce costs instantly.
- 09 Capability
Suspend service
Put a service into a suspended state. Use this to stop billing on workers that aren't currently needed.
Set up in minutes
One URL. Then ask Render to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Render from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_JAYGJZSreVJ9k92xcXeN8HJk32H5UrFmwYZY3SNG/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Render, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Render for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_JAYGJZSreVJ9k92xcXeN8HJk32H5UrFmwYZY3SNG/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Render URL.
- Step 03
Save and start
Save the connection and enable Render in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"render-alternative": {
"url": "https://edge.vinkius.com/vk_preview_JAYGJZSreVJ9k92xcXeN8HJk32H5UrFmwYZY3SNG/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Render
Open Agent mode in chat and ask: "Using Render, help me...". 9 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"render-alternative": {
"url": "https://edge.vinkius.com/vk_preview_JAYGJZSreVJ9k92xcXeN8HJk32H5UrFmwYZY3SNG/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Render
Ask Copilot: "Using Render, help me...". 9 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"render-alternative": {
"url": "https://edge.vinkius.com/vk_preview_JAYGJZSreVJ9k92xcXeN8HJk32H5UrFmwYZY3SNG/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Render
Open Cascade and ask: "Using Render, help me...". 9 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"render-alternative": {
"url": "https://edge.vinkius.com/vk_preview_JAYGJZSreVJ9k92xcXeN8HJk32H5UrFmwYZY3SNG/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Render
Ask Cline: "Using Render, help me...". 9 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add render-alternative --transport http "https://edge.vinkius.com/vk_preview_JAYGJZSreVJ9k92xcXeN8HJk32H5UrFmwYZY3SNG/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Render
Ask Claude: "Using Render, show me...". 9 tools are ready
Where the request belongs
Work Render can move forward.
This is for the engineer who hates context switching. It's for the person who needs to manage production environments quickly without getting lost in a web of tabs and menus.
DevOps Engineer
Handles scaling rules and routine deploy checks during high-pressure incidents.
Full-Stack Developer
Fetches staging environment variables while actively writing code in the IDE.
Incident Responder
Verifies active deployment logs and service statuses to fix downtime fast.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsRender
Equip your AI to orchestrate cloud infrastructure, manage service deployments, and execute scaling operations natively on your Render platform.
Zeabur (PaaS Deployment)
Deploy services, manage containers, and send transactional emails via Zeabur PaaS directly from your AI agent.
DigitalOcean
Deploy and manage cloud infrastructure with simple virtual servers, managed databases, and Kubernetes clusters built for developers.
Flightcontrol (AWS PaaS Deployments)
Deploy and manage AWS infrastructure via Flightcontrol. list projects, manage environments, and scale services directly from any AI agent.
Cloudflare
AI edge infrastructure: manage Workers, KV, D1, R2, routes, and deployments via agents.
Modal (Serverless AI Infrastructure)
Manage serverless compute via Modal. audit active apps, track GPU deployments, and monitor network volumes.
Bring your own AI
Change the model, client or framework. Keep Render connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Render.
The practical details behind the request, access and result.
Can I use the Render MCP to manage my production database?
Yes, you can query your database services to check their status and details. This helps you keep an eye on your data layer without switching to the Render dashboard.
How do I use the Render MCP to save on hosting costs?
You can use the Connector to suspend services or background workers when they aren't being used. This allows your AI agent to turn off resources automatically during off-peak hours.
Can the Render MCP handle my custom domains?
It can list all custom domains associated with your services. This makes it easy to verify your public URLs and ensure your traffic is routing correctly.
Will the Render MCP let me see my environment variables?
Yes, you can ask your agent to list the environment variables for any service. This is great for quickly grabbing connection strings or API keys while you're coding.
Is the Render MCP safe for triggering deployments?
It's a secure way to trigger standard and clear-cache deploys. You just need to provide your Render API key, and your agent can handle the rest based on your commands.
Can I scale my Render web services using this Connector?
Yes, the Connector supports horizontal scaling for services that support it. You can ask your agent to increase or decrease instance counts on the fly.
Can I suspend a running worker to save money?
Absolutely. You can execute suspend_service passing the specific Service ID (e.g. srv-xyz). The target resource will immediately enter the suspended state.
If a deploy fails, can I instruct the agent to re-deploy without using previous cache files?
Yes! The create_deploy capability specifically maps a clearCache parameter. Telling your agent to 'deploy without cache' will map it appropriately, guaranteeing a clean build layer from your repository.
How do I easily extract the full list of Secrets / Environment variables for local parity?
Run list_env_vars for your backend service. It will return all key-value mappings perfectly, allowing you to instantly align your local .env with production secrets.
One connection away
Give your agent a direct line to Render.
Connect Render once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available