Render

Render MCP Connector for Claude

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Equip your AI to orchestrate cloud infrastructure, manage service deployments, and execute scaling operations natively on your Render platform.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Connect your AI assistant directly to your Render cloud infrastructure via their official capabilities API. By granting your agent access to your hosting environments, you transform standard chat text into a powerful DevOps control center. Command deployments, scale back background workers to save costs, and instantiate brand-new services linked directly from your GitHub repositories without ever opening the Render dashboard.

What you can do

  • Control Services & Spend — Retrieve status checks on all active web endpoints, databases, and cron jobs (list_services). Instantly pause compute on unused projects using suspend_service and wake them back up later with resume_service to manage hosting costs.
  • Trigger & Monitor Deployments — Inspect the deployment history for a specific application (list_deploys). Noticed a hotfix on GitHub? Tell your AI to forcefully restart the build pipeline executing trigger_deploy while optionally clearing the build cache.
  • Architect Environments — Direct the agent to dynamically provision fresh infrastructure (create_service) pointing to a specific GitHub repository branch. Or easily swap which branch an existing project trails using update_service_branch.
  • Clean Up Infrastructure — Quickly tear down obsolete staging instances permanently by instructing the AI via natural language to purge unwanted resources (delete_service).

How it works

  1. Install the Render platform extension module in your MCP.
  2. Obtain your personal Render API Key from your Render Account Settings under the API Keys section. Insert it securely into the connection configuration below.
  3. Chat with your AI using natural DevOps phrasing like: "List my web services, then suspend the one named 'old-staging-app'."

Who is this for?

  • DevOps & Infrastructure Engineers — Control routing, execute cache-cleared deployments, or suspend costly non-production workers directly from your command prompt logic.
  • Backend Developers — Quickly spin up private services or background workers for new architectures by just typing a repo link in your chat window.
  • Startups & Indie Hackers — Save time managing platform UI. Just ask your AI companion to identify, suspend, and analyze your app deployments natively in seconds.
cloud-hostingdeployment-automationscalingserver-managementinfrastructure-as-codeweb-services

10 tools expose this connector's capabilities to your AI agent.

create_service

Specify type, name, owner, and repository. Creates a new Render service from a GitHub repository

delete_service

This action is irreversible. Permanently deletes a Render service

get_deploy

Retrieves details for a specific deployment

get_service

Retrieves details for a specific Render service

list_deploys

Lists recent deployments for a service

list_services

Lists all services (web apps, databases, cron jobs) in the Render account

resume_service

Resumes a previously suspended service

suspend_service

Suspends a service to stop execution and billing

trigger_deploy

Triggers a manual deployment for a service

update_service_branch

Updates the tracked GitHub branch for a service

See how to talk to your AI agent using Render.

List my web services, then suspend the one named 'old-staging-app'.

I checked your services utilizing `list_services`. I found the matching instance ('old-staging-app', ID: srv-...a1s). By executing `suspend_service`, the application is now safely paused, terminating related compute billing operations momentarily until you need it again.

Check the recent deployment history for my main front-end service (srv-xyz123).

Pulling data using the `list_deploys` interface on `srv-xyz123`, I can confirm the last 3 deployments occurred at [10:30 AM], [11:15 AM], and [1:00 PM]. The most recent deployment completed successfully and is live.

Trigger a force deployment on service ID 'srv-backend88' and clear its build cache.

Deploy triggered using `trigger_deploy` with instructions pointing at `srv-backend88`. As requested, I bypassed internal optimizations establishing a true clean slate by clearing the previous build cache prior to cloning code.

Yes, absolutely. The tool `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."

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