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RenderMe MCP Server for VS Code CopilotGive VS Code Copilot instant access to 12 tools to Check Api Health, Create Video Render Job, Get Account Render Stats, and more

Built by Vinkius GDPR 12 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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Ask AI about this App Connector for VS Code Copilot

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The RenderMe app connector for VS Code Copilot is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install RenderMe and 3,400+ MCP Servers from a single visual interface.

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Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "renderme": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
RenderMe
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About RenderMe MCP Server

Connect your RenderMe (re.video) account to any AI agent and take full control of your automated video production and media orchestration through natural conversation. RenderMe provides a powerful API for rendering professional videos from motion templates, allowing you to trigger render jobs, manage deployments, and track media assets directly from your chat interface.

GitHub Copilot Agent mode brings RenderMe data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Automated Video Rendering — Trigger video generation jobs using deployment IDs and dynamic variables (text, images, colors) programmatically.
  • Job Lifecycle Management — Monitor the status of your rendering requests and retrieve final result URLs directly from the AI interface.
  • Template & Deployment Control — List all available video templates and access detailed technical metadata to ensure your visual content is always on-brand.
  • Asset & Folder Oversight — Manage your video projects, uploaded media, and organizational folders via natural language.
  • Operational Monitoring — Track account statistics and monitor system health using simple AI commands.

The RenderMe MCP Server exposes 12 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 RenderMe tools available for VS Code Copilot

When VS Code Copilot connects to RenderMe through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-automation, motion-graphics, video-rendering, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_api_health

Verify RenderMe API connectivity

create_video_render_job

Trigger a new video rendering job

get_account_render_stats

Get account usage and render statistics

get_current_user

Get authenticated user profile

get_render_job_status

Check status of a render job

get_template_details

Get details for a specific video template

list_asset_folders

List asset organization folders

list_configured_webhooks

List active webhooks

list_recent_render_jobs

List recent video render jobs

list_uploaded_assets

List all uploaded images and media

list_video_projects

List all video projects

list_video_templates

List all video templates (deployments)

Connect RenderMe to VS Code Copilot via MCP

Follow these steps to wire RenderMe into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using RenderMe

Ask Copilot: "Using RenderMe, help me...". 12 tools available

Why Use VS Code Copilot with the RenderMe MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with RenderMe through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

RenderMe + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the RenderMe MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for RenderMe in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with RenderMe immediately.

01

"List all my video deployments in RenderMe."

02

"Render a batch of 50 personalized certificate images for our training program graduates."

03

"Show me the rendering statistics and API usage for my account this month."

Troubleshooting RenderMe MCP Server with VS Code Copilot

Common issues when connecting RenderMe to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

RenderMe + VS Code Copilot FAQ

Common questions about integrating RenderMe MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.