Runway ML MCP. Generate cinematic videos from conversation.
Runway ML connects advanced video generation directly into your AI workflow. Generate cinematic clips from simple text prompts, bring still images to life with motion, or blend two keyframes for smooth transitions using models like Gen-3 Turbo and Gen-4 Turbo. It also lets you manage job status, view credits, and cancel costly renders without leaving your chat interface.
Claude 
ChatGPT 
Cursor 
Gemini 
Windsurf 
VS Code 
JetBrains 
Vercel Give Claude and any AI agent real-world access
You can ask your agent to generate brand new scenes using detailed written prompts and various models.
Bring a static picture into motion by specifying source image URLs, the model, and how long you want the final clip to be.
You can generate video that not only starts from an image but also uses a separate text prompt to precisely direct the movement or camera action.
The system creates fluid, cinematic motion clips by blending two distinct keyframe images together.
You maintain control of your workflow by listing recent tasks, checking if a render succeeded and retrieving the output link, or canceling expensive jobs to save credits.
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What AI agents can do with Runway ML: 10 Video Generation Tools
These tools let you run every stage of the video creation process—from initial prompt generation to final status checking and billing management.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Runway ML MCPCancel Task
Stops a video generation job that is currently running so you don't waste credits on a failed render.
Gen3 Turbo
Generates quick, 5-second videos using the Gen-3 Alpha Turbo model for fast testing...
Gen4 Turbo
Creates high-quality video clips using the advanced Gen-4 Turbo model when you need...
Get Organization
Retrieves your account's current credit usage and overall organization details for...
Get Task
Checks the status of a specific job ID, telling you if it succeeded or failed and...
Image Text To Video
Creates video by combining a starting image with a text prompt that guides how the camera moves or what happens to the subject.
Image To Video
Animates a still picture into a moving video by specifying a source URL and desired duration.
Interpolate
Creates smooth, professional-looking motion clips that transition believably between...
List Tasks
Shows a history of your recent video generation jobs so you can see what's been...
Text To Video
Generates a full video clip simply by providing a detailed text description and...
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Runway ML integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Runway ML, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Runway ML API. 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.
VINKIUS CLOUD
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Manual Video Generation Is a Time Sink
Today, generating even short clips means jumping between web interfaces. You upload an image to one site, write the prompt into another, and then manually manage the task ID in a third dashboard just to check if it's done. If you need to change the style or timing, you start that whole agonizing process over.
With this MCP, all those manual steps vanish. You simply describe your entire visual idea—the initial prompt, the image source, and the desired transition—and ask your agent to run the tools. What you get back is a complete video asset managed within one conversation.
Runway ML MCP Delivers Controlled Visual Assets
You no longer have to copy and paste complex instructions or manage separate dashboards. The agent handles the handoff: it takes your text input, routes it through gen4_turbo, initiates the task ID, and keeps track of its status until you ask for the final output link.
It's a fundamental shift from 'submitting a job' to 'asking the AI to produce a result.' You are in control of the entire process, from prompt to completion.
What Runway ML MCP does for your AI
Runway ML lets you generate complex video content entirely through conversation. Instead of navigating web interfaces or managing complicated pipelines, you just tell your agent what you want—a 10-second cinematic shot of a futuristic cityscape, for example. Your AI client handles the heavy lifting using best-in-class generative models. If you have an image and want to guide how it moves, you don't need complex keyframe software; you simply describe the motion.
This integration puts professional video production tools right into your chat window. With Vinkius in the catalog, Runway ML sits alongside thousands of other specialized connectors, giving your agent access to a complete suite of creative and technical services. You get stunning, highly stylized videos whether you start with pure text prompts or guide animation from a single reference picture.
019d7601-2dba-7101-a72d-d674fa9cd4b7 
How to set up Runway ML MCP
The bottom line is that once connected, your AI client treats complex video generation tasks like simple chat commands.
First, activate the Runway ML integration in your AI client through Vinkius.
Next, sign into the developer portal and provide your secure API token for connection.
Finally, tell your agent exactly what you want. For instance: 'Generate a 5-second video of a cyberpunk city using Gen-3 Turbo.'
Who uses Runway ML MCP
Creative directors and marketing teams who are tired of spending hours in dedicated rendering software or juggling multiple web dashboards. If you need to prototype sequences fast and keep the creative conversation flowing, this is for you.
You use this MCP to rapidly generate B-roll footage for a campaign by giving your agent specific text prompts or feeding it existing assets that need animating.
You prototype storyboards and conceptualize scenes within your chat, asking the agent to test different models (like Gen-4 Turbo) to see which visual direction works best before committing resources.
You quickly generate multiple eye-catching clips using image inputs and text prompts, dramatically speeding up the process of creating content for several platforms at once.
Benefits of connecting Runway ML MCP
Rapid Prototyping: Need to test five different visual concepts? Use text_to_video or gen3_turbo to spin up quick 5-second clips, letting you rapidly iterate on creative direction without leaving your chat window.
Controlled Animation: Instead of guessing how an image will move, use image_text_to_video. You provide the starting photo and then direct its movement with a text prompt, giving you precise control over the animation's trajectory.
High Fidelity Output: For final marketing assets that need to look pristine, use gen4_turbo or text_to_video to leverage the most advanced models available for superior visual quality.
Seamless Blending: When your project requires a smooth shift between two distinct visuals, the interpolate tool handles it. It creates professional-grade transitional motion clips you'd otherwise need specialized software for.
Cost Management: Don't let renders run forever. Use list_tasks to track jobs and cancel_task immediately stops costly rendering pipelines when your creative needs change.
Runway ML MCP use cases
Developing a new product concept video
A marketing team has a mood board but no footage. They ask their agent to generate a 10-second cinematic scene of the product in action using text_to_video, and then use image_text_to_video to guide the camera movement around key features.
Creating an animated character sequence
A content creator wants a specific look for their main character. They run an initial animation using image_to_video on a reference photo, and then use interpolate to smoothly transition the character into a new setting.
Reviewing project costs
A producer finishes a day of testing videos and needs to know how many credits were used. They ask their agent to run get_organization, which immediately reports billing usage so they can plan for tomorrow's renders.
Troubleshooting failed renders
A user submits a complex prompt that fails after 15 minutes of rendering. Instead of waiting, they ask their agent to check the job status with get_task and then use cancel_task to stop it immediately.
Runway ML MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Trying to render everything at once
Copying a massive prompt into an external web tool, clicking submit, and waiting for the result while doing nothing else. This process is slow, difficult to track, and requires leaving your current workspace.
Instead, keep it in your chat. Use text_to_video or gen4_turbo via this MCP. It sends the task to the agent, which gives you a task ID you can then poll with get_task while you continue working on other prompts.
Forgetting to check job status
Thinking that because you submitted the render request moments ago, it must be finished. You keep sending follow-up messages until your agent finally tells you it's not ready.
Always ask your agent to list_tasks first. This shows recent activity and confirms if the job has moved past 'PENDING' status, saving time.
Over-relying on generic image tools
Using a basic online animation tool that treats all images the same way, resulting in stiff, unnatural movements.
Use image_text_to_video. This specific tool allows you to combine your starting visual with a detailed text prompt, giving the AI directional instructions for realistic motion.
When to use Runway ML MCP
You should use this MCP if your primary need is generating high-quality video content (cinematic shots, B-roll, animations) directly within an AI conversation. This is perfect when you are iterating quickly or managing a complex creative pipeline that involves multiple steps: text generation -> image animation -> blending -> status checking.
Don't use this if your goal is simple file conversion (e.g., PNG to JPG). You need dedicated media converters for that. Also, don't use it just because you want video; you must have a concrete idea of the visual content first. If you only have a vague concept, write down detailed prompts using text_to_video or gen3_turbo until the vision is solid.
This MCP handles the generation and management. It's not an asset storage solution or a video editing suite; it’s your engine for creating raw, high-quality visual assets.
Frequently asked questions about Runway ML MCP
How do I use Runway ML MCP for text-to-video generation? +
Use the text_to_video tool by giving your agent a detailed description of what you want. You specify the prompt and either 5 or 10 seconds, and it returns a task ID immediately.
Can I animate an existing photo using Runway ML MCP? +
Yes, use image_to_video by providing the source URL. You specify the model and duration, and the system animates that still picture into a video clip.
What if my render job is taking too long? How do I stop it? +
You can use cancel_task with the specific task ID. This immediately stops the rendering process and prevents you from wasting valuable credits on an unnecessary job.
How does Runway ML MCP help me blend two different videos? +
Use the interpolate tool. It takes two separate keyframe images and generates a single, smooth transitional motion clip between them for professional continuity.
Where do I check my remaining credits after using Runway ML MCP? +
Run get_organization to retrieve your current organization details. This shows you exactly how many credits you've used and what your billing status is.