Integrate Runway ML with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCancel task on Runway ML
This action is irreversible. Cancels a running generation task
Gen3 turbo on Runway ML
Quick 5-second video generation using Gen-3 Alpha Turbo
Gen4 turbo on Runway ML
High-quality video generation using Gen-4 Turbo
Get organization on Runway ML
Retrieves Runway ML organization and credit details
Get task on Runway ML
Look for SUCCEEDED status and output URL. Retrieves the status and output of a generation task
Image text to video on Runway ML
Generates video from both an image and a text prompt
Image to video on Runway ML
Specify source image URL, model, and duration. Animates a still image into a video
Interpolate on Runway ML
Creates smooth motion between two keyframe images
List tasks on Runway ML
Lists recent generation tasks
Text to video on Runway ML
Specify prompt, model, and duration (5 or 10). Returns a task ID. Generates a video from a text prompt
Security & Code Integrity Audit
Every tool in the Runway ML MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Can I use Gen-4 models for free?
No. Runway requires credits for all generations, and Gen-4 Turbo consumes significantly more credits than earlier models or standard actions. You must maintain sufficient active credits or a paid subscription on your Runway account for the AI to successfully execute the rendering jobs.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What can AI Agents do with Runway ML?
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Runway ML infrastructure.
Intelligent video generation Management
The Runway ML server exposes documented endpoints for video generation. This allows ChatGPT and Cursor to interact with ai frontier APIs seamlessly.
The Future of generative ai
Provide Claude Code and Cursor with read and write access to generative ai. The Runway ML toolkit handles all necessary routing for ai frontier integrations.
Runway ML. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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