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Vinkius

Render Connector for AI agents.

10 live capabilities

Manage cloud deployments and hosting costs from your chat window.

Live agent request Render / Connector

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AI Agent

Why people use Render

Render for Automated Cloud Infrastructure Management

This Connector lets you stay in your workspace. You just type a command to your agent and it handles the interaction with the Render API. You get the same result as clicking through the UI but without the tabs and the waiting.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a hands-free way to manage Render infrastructure directly from your chat.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Emergency Hotfix Deployment

    A developer notices a critical bug in production and tells the agent to use `trigger_deploy` to push a fix immediately without logging into the dashboard.

  2. Real-world use case 02

    Weekend Cost Savings

    A startup founder asks the agent to find all staging apps and use `suspend_service` on them every Friday night to save on weekend billing.

  3. Real-world use case 03

    Rapid Service Provisioning

    A backend dev provides a repo link and tells the agent to use `create_service` to spin up a new worker for a new architecture.

Complete set · 10capabilities

The complete Render capability set.

These are the exact actions your AI can choose when you ask it to work with Render.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 10 available through Render.

  1. 01 Capability

    List deploys

    See the most recent deployment history for a service. This provides a clear audit trail of your releases.

  2. 02 Capability

    Delete service

    Permanently remove a Render service from your account. Use this to clean up old staging resources.

  3. 03 Capability

    Get deploy

    Fetch the specific details for one deployment. This is useful for inspecting a single build's status.

  4. 04 Capability

    Get service

    Retrieve the configuration and status of a specific service. Use this to check current service settings.

Capability set02 / 03

05—07

3 capabilities in this set.

Part of 10 available through Render.

  1. 05 Capability

    List services

    Get a full list of all web apps, databases, and cron jobs. This gives you a complete overview of your stack.

  2. 06 Capability

    Resume service

    Turn back on a service that was previously suspended. This reactivates your compute and billing.

  3. 07 Capability

    Suspend service

    Stop a service's execution and billing immediately. This is the fastest way to save money on unused apps.

Capability set03 / 03

08—10

3 capabilities in this set.

Part of 10 available through Render.

  1. 08 Capability

    Trigger deploy

    Start a manual deployment for a specific service. This lets you push hotfixes without touching the dashboard.

  2. 09 Capability

    Update service branch

    Change which GitHub branch a service tracks. Use this to quickly swap production branches during a release.

  3. 10 Capability

    Create service

    Create a new Render service from a specific GitHub repository. This helps you provision new infrastructure quickly.

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 preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_pEeUg16StLOA5pkBaryT7Mq2sSYvbxeIRlBjicca/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Render, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Render for the conversation.

Where the request belongs

Work Render can move forward.

Built around the request

This is for the engineers who are tired of dashboard fatigue and the developers who need to move faster without the overhead of manual cloud configuration.

01

DevOps Engineer

Checks deployment statuses and manages service lifecycles without leaving the terminal.

02

Backend Developer

Spins up private services for new features and triggers hotfixes on demand.

03

Indie Hacker

Pauses non-production workers instantly to keep hosting costs at a minimum.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Render logo
01 9 capabilities

Render

Automate your PaaS infrastructure via Render. list your services, deploy code, check logs, and scale resources directly from any AI agent.

View Connector
Modal (Serverless AI Infrastructure) logo
02 7 capabilities

Modal (Serverless AI Infrastructure)

Manage serverless compute via Modal. audit active apps, track GPU deployments, and monitor network volumes.

View Connector
Railway logo
03 11 capabilities

Railway

Manage cloud deployments via Railway. list projects, inspect services, track deployments and manage variables and volumes from any AI agent.

View Connector
Flightcontrol (AWS PaaS Deployments) logo
04 24 capabilities

Flightcontrol (AWS PaaS Deployments)

Deploy and manage AWS infrastructure via Flightcontrol. list projects, manage environments, and scale services directly from any AI agent.

View Connector
DigitalOcean logo
05 9 capabilities

DigitalOcean

Deploy and manage cloud infrastructure with simple virtual servers, managed databases, and Kubernetes clusters built for developers.

View Connector
Flystack logo
06 5 capabilities

Flystack

Manage cloud infrastructure. audit deployments, clusters, and metrics via AI.

View Connector

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.

How can the Render MCP help me save money on my hosting?

It allows you to instantly pause services that aren't being used. By telling your agent to suspend non-production apps, you stop the compute billing immediately without having to log into the dashboard.

Can I use the Render MCP to deploy new apps from GitHub?

Yes, you can tell your agent to create new services by providing a repository link. It will handle the connection to your GitHub and set up the infrastructure for you.

Will the Render MCP automatically manage my deployments?

It gives your agent the ability to trigger manual deployments on demand. While it doesn't replace your CI/CD, it makes it much faster to push hotfixes or specific builds via chat.

Is the Render MCP safe to use for deleting services?

Yes, it provides a way to permanently remove services. Just be aware that this action is irreversible, so it's best to double-check the service name with your agent before confirming.

How do I connect my Render account to my AI agent?

You just need to grab your API Key from your Render account settings and add it to your Connector configuration. Once connected, your agent can see and manage your services.

Can I check my deployment history using the Render MCP?

Absolutely. You can ask your agent to show you the recent history for any service, and it will pull the latest deployment logs so you can see what went live and when.

Can the AI clear the cache when triggering a deploy?

Yes, absolutely. The capability trigger_deploy incorporates an optional variable explicitly created for cache management. You can command the agent: "Redeploy the web app named Node-Backend and bypass rendering cache."

Which type of new services can the AI deploy using `create_service`?

The Connector can provision and launch exactly three core resource forms utilizing GitHub repos: standard web services (web_service), private network-locked processes (private_service), and asynchronous task handlers (background_worker).

Warning: Is there a confirmation before using `delete_service`?

Since natural language agents can occasionally misinterpret parameters, invoking the text request explicitly will route straight to the Render API resulting in instantaneous destruction. Please ensure absolute clarity when pointing the AI logic toward deletion operations.

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