Runway ML API Connector for AI agents.
10 live capabilities
Create high-quality cinematic video clips and animations from text prompts.
Waiting for input…
Why people use Runway ML API
Runway ML Video Generation for Cinematic Storyboarding
With this Connector, you stay in your chat window. You describe the scene, and your agent handles the submission. You can check the status of multiple renders at once and grab the final links as they finish. You get a continuous flow from idea to moving visual.
What Vinkius changes
You turn text or images into professional video assets without ever leaving your chat window.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Rapid social media b-roll generation
A social media manager needs 10 different b-roll clips for a travel brand.
- Real-world use case 02
Visualizing character movement
A creative director wants to see how a character would move.
- Real-world use case 03
Seamless location transitions
A filmmaker needs a transition between two locations.
Complete set · 10capabilities
The complete Runway ML API capability set.
These are the exact actions your AI can choose when you ask it to work with Runway ML API.
01—04
4 capabilities in this set.
Part of 10 available through Runway ML API.
- 01 Capability
Get organization
View your organization's current credit balance and details. It helps you monitor your spending across the account.
- 02 Capability
Get task
Check if a video render is finished. This provides the final output URL once the status shows as successful.
- 03 Capability
Image text to video
Create a video from a reference photo and a text description. It's perfect for guiding the specific motion of a still image.
- 04 Capability
Interpolate
Make a smooth transition between two different images. It creates a fluid motion clip that blends the two keyframes.
05—07
3 capabilities in this set.
Part of 10 available through Runway ML API.
- 05 Capability
Cancel task
Stop a video that is currently being rendered. Use this to save credits if you realize the prompt isn't working.
- 06 Capability
Gen3 turbo
Create a quick five-second video using the Gen-3 Alpha Turbo model. It's built for speed and high-quality results.
- 07 Capability
Gen4 turbo
Generate high-quality video clips using the Gen-4 Turbo model. This is the top-tier option for realistic visuals.
08—10
3 capabilities in this set.
Part of 10 available through Runway ML API.
- 08 Capability
Image to video
Turn a single image into a video clip. You just need to provide the image URL, the model choice, and the duration.
- 09 Capability
List tasks
See a list of your most recent video generation jobs. This helps you keep track of everything you've submitted lately.
- 10 Capability
Text to video
Create a video based solely on a written prompt. You can choose the model and the length of the clip.
Set up in minutes
One URL. Then ask Runway ML API to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Runway ML API from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_fxPMozx8tTYwy0f2CIAyhsmnGRvf4U3doJGXFGQX/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Runway ML API, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Runway ML API for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_fxPMozx8tTYwy0f2CIAyhsmnGRvf4U3doJGXFGQX/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Runway ML API URL.
- Step 03
Save and start
Save the connection and enable Runway ML API in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"runway-ml": {
"url": "https://edge.vinkius.com/vk_preview_fxPMozx8tTYwy0f2CIAyhsmnGRvf4U3doJGXFGQX/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Runway ML API
Open Agent mode in chat and ask: "Using Runway ML API, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"runway-ml": {
"url": "https://edge.vinkius.com/vk_preview_fxPMozx8tTYwy0f2CIAyhsmnGRvf4U3doJGXFGQX/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Runway ML API
Ask Copilot: "Using Runway ML API, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"runway-ml": {
"url": "https://edge.vinkius.com/vk_preview_fxPMozx8tTYwy0f2CIAyhsmnGRvf4U3doJGXFGQX/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Runway ML API
Open Cascade and ask: "Using Runway ML API, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"runway-ml": {
"url": "https://edge.vinkius.com/vk_preview_fxPMozx8tTYwy0f2CIAyhsmnGRvf4U3doJGXFGQX/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Runway ML API
Ask Cline: "Using Runway ML API, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add runway-ml --transport http "https://edge.vinkius.com/vk_preview_fxPMozx8tTYwy0f2CIAyhsmnGRvf4U3doJGXFGQX/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Runway ML API
Ask Claude: "Using Runway ML API, show me...". 10 tools are ready
Where the request belongs
Work Runway ML API can move forward.
This is for the creative lead who needs to move fast, the content creator who needs high-end b-roll without a studio, and the motion designer who wants to automate repetitive transitions.
Creative Director
Rapidly prototype storyboards and visual styles for client pitches without a full production team.
Social Media Manager
Create unique b-roll and high-quality loops for platforms like Instagram or TikTok in seconds.
Motion Designer
Quickly generate transitional clips or interpolate between keyframes to save hours of manual animation.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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GAN.ai
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Elai AI Video
Equip your AI agent to generate AI videos, manage avatars, and track rendering status via the Elai.io API.
Kling AI (Generative Video & Image)
Generate cinematic videos and images via Kling AI. use text-to-video, image-to-video, and AI virtual try-on.
Colossyan
Automate AI video creation via Colossyan. generate videos from templates, manage avatars, and track rendering jobs directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Runway ML API connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Runway ML API.
The practical details behind the request, access and result.
Can the Runway ML MCP generate videos from my own photos?
Yes, you can. By providing a link to your image, your AI agent can animate it into a video clip or use it as a reference to guide specific movements.
Does this Connector support the newest Runway models?
It supports the Gen-3 Alpha and Gen-4 Turbo models, which are the current standards for high-quality video generation.
How do I manage my video production budget with this?
The Connector includes capabilities to check your organization's credit balance and usage. You can also cancel tasks that aren't working out to save on your costs.
Can I create smooth transitions between two different images?
Yes, the interpolation capability is specifically designed to blend two keyframe images into one smooth, fluid motion clip.
Is there a way to see all my recent video tasks at once?
You can ask your agent to list your recent tasks. It will scan your history and show you which ones succeeded and provide the links for the finished videos.
How fast is the video generation?
The Gen-3 Turbo model is optimized for speed, typically generating five-second clips very quickly for fast iteration.
How can I preview the output without fully committing my prompt?
Video generation actions using the Runway engines are directly invoked through asynchronous background tasks. Instead of an exact real-time preview, you can start small 5-second generations or iterate closely on your prompt texts until they produce the final aesthetic you want.
Does this integration process video rendering in real-time?
No. Video rendering is asynchronous. When you submit a prompt or an image, the AI will dispatch a background task to Runway's servers and receive a 'task_id'. You will need to ask the AI to verify the status of this task later, usually after a few minutes, to fetch the final video URL.
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.
One connection away
Give your agent a direct line to Runway ML API.
Connect Runway ML API once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available