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Vinkius runs on Cline

How to Use the RenderMe MCP in Cline

Build automated video tools and render templates inside VS Code using Cline and the RenderMe MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

RenderMe MCP on Cursor AI Code Editor MCP Client RenderMe MCP on Claude Desktop App MCP Integration RenderMe MCP on OpenAI Agents SDK MCP Compatible RenderMe MCP on Visual Studio Code MCP Extension Client RenderMe MCP on GitHub Copilot AI Agent MCP Integration RenderMe MCP on Google Gemini AI MCP Integration RenderMe MCP on Lovable AI Development MCP Client RenderMe MCP on Mistral AI Agents MCP Compatible RenderMe MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Cline

Connect RenderMe MCP to Cline

Create your Vinkius account to connect RenderMe to Cline — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

End-to-end video automation with Cline

Cline starts by calling `list_video_projects` to see what you have in progress, rather than just talking about video production. It inspects the details with `get_template_details` to build the automation scripts for you. Once it understands the project structure, it writes the local code to handle the API calls. It validates your setup by running `check_api_health` to make sure your credentials are correct before committing any code to your repository.

Direct asset mapping and folder inspection

This MCP Server runs `list_asset_folders` to map out your online media directories because managing asset paths for dynamic videos is messy. It matches your local workspace assets with files already online using `list_uploaded_assets`. If it finds a mismatch, Cline can write a script to upload the missing files. It handles the mapping automatically so your rendering scripts never fail due to a broken path or a missing image.

Background job tracking and queue management

Cline calls `list_recent_render_jobs` to get a bird's-eye view of your queue, saving you from watching progress bars. It monitors active builds in the background with `get_render_job_status` so you can keep coding other features. If a job fails, Cline inspects the error logs. It can automatically tweak your template parameters and trigger a fresh build using `create_video_render_job` to fix the issue without your manual intervention.

Setup guide

Set up RenderMe MCP in Cline

Prerequisites

  • VS Code with Cline extension installed
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open Cline MCP settings

    Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.

  2. 2

    Add a remote server

    Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type renderme-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.

  3. 3

    Enable the server

    After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.

  4. 4

    Start using tools

    Return to the Cline chat and ask: "Check my latest RenderMe refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings
{
  "mcpServers": {
    "renderme-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by RenderMe. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about RenderMe MCP in Cline

Click the MCP icon in the Cline sidebar and search for it in the marketplace tab. You can also manually add the configuration block to your `cline_mcp_settings.json` file.
Yes. Cline can write a complete frontend component, integrate the API calls using `create_video_render_job`, and write tests to verify that the template parameters map correctly.
Cline calls `get_render_job_status` at regular intervals to check the status of your render. It reports the progress directly in your sidebar chat so you don't have to leave VS Code.
Yes. Your agent runs `get_template_details` to read the exact schema of your video layouts. This lets it see which text fields and image placeholders are available for customization.
No. Your source assets, template configurations, and rendered video files remain securely hosted on re.video. Only the API commands and status metadata flow through this local MCP setup to your editor.

Start using the RenderMe MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for RenderMe. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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