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Connect Render (Alternative) to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Manage your entire cloud portfolio through natural conversation.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 9 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-03

3 capabilities in this set.

Part of 9 available through Render.

  1. 01

    List custom domains

    This capability retrieves the custom domains attached to a specific service.

  2. 02

    List deploys

    Use this to pull a history of recent deployments for a service.

  3. 03

    Resume service

    This capability restarts a Render service that has been suspended.

Capability set02 / 03

04-06

3 capabilities in this set.

Part of 9 available through Render.

  1. 04

    Scale service

    This capability adjusts the number of instances for services that support horizontal scaling.

  2. 05

    Suspend service

    Use this to immediately stop a running Render service.

  3. 06

    Get service

    This capability fetches the full configuration and details for a single service.

Capability set03 / 03

07-09

3 capabilities in this set.

Part of 9 available through Render.

  1. 07

    Create deploy

    This capability triggers a new deployment for a specific service.

  2. 08

    List env vars

    This capability pulls the environment variables configured for a service.

  3. 09

    List services

    This capability provides a list of all services in your Render account.

Real work

What teams actually run

01

Fixing Failed Builds

Trigger a new deployment with a cleared cache when a build fails due to stale artifacts.

02

Cost Optimization

Scale background workers down to zero during low traffic periods or weekends.

03

Environment Debugging

Ask your agent to list environment variables to verify configuration settings.

04

Rapid Scaling

Increase service instances immediately when you notice high load in your logs.

Automate a task

Put Render to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Render works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Render to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

876ms average. Fast in production.

Render is checked daily against the live service.

Daily averagePeak 1099ms
Oct 3Today
Fastest day
697ms
Slowest day
1099ms
14-day trend
Slowing+25%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 9 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Render, so you can see the experience inside your AI.

It does not authenticate your account with Render. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Render Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_JAYGJZSreVJ9k92xcXeN8HJk32H5UrFmwYZY3SNG/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Render capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "render-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_JAYGJZSreVJ9k92xcXeN8HJk32H5UrFmwYZY3SNG/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Render in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Render owners hand off.

This MCP is built for technical users who want to manage cloud infrastructure without leaving their development environment.

  • 01

    DevOps Engineers

    They use it to handle scaling rules and routine deployment checks without the dashboard.

  • 02

    Full-Stack Developers

    They fetch staging environment variables while they are actively writing code.

  • 03

    Incident Responders

    They verify active deployment logs to fix downtime issues natively.

FAQ

Questions Render owners ask.

  • 01

    How do I connect my Render account?

    You subscribe to the MCP on Vinkius and enter your Render API Key. Once connected, it is ready to use in any compatible client.

  • 02

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 03

    Can I scale services through my AI agent?

    Yes, you can scale services that support horizontal scaling by asking your agent to adjust the instance count.

  • 04

    Is it possible to clear the cache during a deploy?

    Yes, you can instruct your agent to trigger a deployment specifically with the cache cleared.

  • 05

    Can I manage background workers?

    Yes, you can suspend or resume background workers or scale them to zero to manage costs.

  • 06

    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.

  • 07

    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.

  • 08

    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.

Explore

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