3,400+ MCP servers ready to use
Vinkius

RenderMe MCP Server for Claude CodeGive Claude Code 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 CLI

Claude Code is Anthropic's agentic CLI for terminal-first development. Add RenderMe as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.

Use with Your AI Agent

Ask AI about this App Connector for Claude Code

Open in ChatGPT Open in Claude Open in Perplexity

The RenderMe app connector for Claude Code 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.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·bash
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add renderme --transport http "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.

Claude Code registers RenderMe as an MCP server in a single terminal command. Once connected, Claude Code discovers all 12 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where RenderMe data drives decisions without human intervention.

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 Claude Code 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 Claude Code

When Claude Code 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 Claude Code via MCP

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

01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed
02

Add the MCP Server

Run the command above in your terminal
03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session
04

Start using RenderMe

Ask Claude: "Using RenderMe, show me...". 12 tools are ready

Why Use Claude Code with the RenderMe MCP Server

Claude Code provides unique advantages when paired with RenderMe through the Model Context Protocol.

01

Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart

02

Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

03

Claude Code runs headlessly, enabling unattended batch processing using RenderMe tools in cron jobs or deployment scripts

04

Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

RenderMe + Claude Code Use Cases

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

01

CI/CD integration: embed RenderMe tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping

02

Headless batch processing: schedule Claude Code to query RenderMe nightly and generate reports without human intervention

03

Shell scripting: pipe RenderMe outputs into other CLI tools for data transformation, filtering, and aggregation

04

Infrastructure monitoring: run Claude Code in a cron job to query RenderMe status endpoints and alert on anomalies

Example Prompts for RenderMe in Claude Code

Ready-to-use prompts you can give your Claude Code 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 Claude Code

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

01

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
02

Connection timeout

Check your internet connection and verify the Edge URL is reachable

RenderMe + Claude Code FAQ

Common questions about integrating RenderMe MCP Server with Claude Code.

01

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.
02

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
03

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.