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Render MCP Server

Name: Render
Availability: InStock
Author: Vinkius

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

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What is the Render MCP Server?

The Render MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Render via 10 tools. Equip your AI to orchestrate cloud infrastructure, manage service deployments, and execute scaling operations natively on your Render platform. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

create_servicedelete_serviceget_deployget_servicelist_deployslist_servicesresume_servicesuspend_servicetrigger_deployupdate_service_branch

Tools for your AI Agents to operate Render

Ask your AI agent "List my web services, then suspend the one named 'old-staging-app'." and get the answer without opening a single dashboard. With 10 tools connected to real Render data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

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Render MCP Server capabilities

10 tools

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

What the Render MCP Server unlocks

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.

Frequently asked questions about the Render MCP Server

Can the AI clear the cache when triggering a deploy?

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."

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

The MCP 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.