Runway ML MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"runway-ml": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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About Runway ML MCP Server
Connect your AI to Runway ML, the pioneer in applied AI research shaping the next era of art, entertainment and human creativity. This powerful integration empowers you to tap directly into Runway's cutting-edge Gen-3 Alpha and Gen-4 video generation models right from your conversational workspace. Produce stunning, realistic, or highly stylized video clips simply by typing out your vision or providing a reference image.
Cursor's Agent mode turns Runway ML into an in-editor superpower. Ask Cursor to generate code using live data from Runway ML and it fetches, processes, and writes — all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Text-to-Video Generation — Write detailed prompts to synthesize entirely new, imaginative scenes using
gen3_turbo,gen4_turbo, or the standardtext_to_videotooling. - Image-to-Video Animation — Bring still images to life using
image_to_videoor precisely guide the motion of a starting image with a textual director prompt usingimage_text_to_video. - Advanced Interpolation — Seamlessly blend two distinct keyframe images into one smooth transitional motion clip (
interpolate). - Complete Task Management — Maintain full control over costly generation pipelines. Easily check job status or output URLs (
get_task,list_tasks), cancel ongoing renders to save credits (cancel_task), and audit your organization's billing usage (get_organization).
The Runway ML MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Runway ML to Cursor via MCP
Follow these steps to integrate the Runway ML MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Runway ML
Open Agent mode in chat and ask: "Using Runway ML, help me..." — 10 tools available
Why Use Cursor with the Runway ML MCP Server
Cursor AI Code Editor provides unique advantages when paired with Runway ML through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Runway ML + Cursor Use Cases
Practical scenarios where Cursor combined with the Runway ML MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Runway ML MCP Tools for Cursor (10)
These 10 tools become available when you connect Runway ML to Cursor via MCP:
cancel_task
This action is irreversible. Cancels a running generation task
gen3_turbo
Quick 5-second video generation using Gen-3 Alpha Turbo
gen4_turbo
High-quality video generation using Gen-4 Turbo
get_organization
Retrieves Runway ML organization and credit details
get_task
Look for SUCCEEDED status and output URL. Retrieves the status and output of a generation task
image_text_to_video
Generates video from both an image and a text prompt
image_to_video
Specify source image URL, model, and duration. Animates a still image into a video
interpolate
Creates smooth motion between two keyframe images
list_tasks
Lists recent generation tasks
text_to_video
Specify prompt, model, and duration (5 or 10). Returns a task ID. Generates a video from a text prompt
Example Prompts for Runway ML in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Runway ML immediately.
"Create a 5 second cinematic video showing a sunset over an alien planet using Runway Gen-3 Turbo."
"Take this reference image URL and animate it with Gen-3 Turbo to make the camera slowly pan backwards."
"List all my ongoing tasks on Runway to see if the video has finished rendering."
Troubleshooting Runway ML MCP Server with Cursor
Common issues when connecting Runway ML to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Runway ML + Cursor FAQ
Common questions about integrating Runway ML MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Runway ML with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Runway ML to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.