Runway ML Connector for AI agents.
4 live capabilities
Generate and manage cinematic video assets from your chat interface.
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Why people use Runway ML
Runway ML for Cinematic Video Production
This Connector changes that by bringing the generation engine into your workspace. You tell your agent what you want, and it handles the model selection, seed setting, and status checking. You get a finished video asset delivered right where you're already working.
What Vinkius changes
You get to move from idea to video asset without 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 Storyboarding
A director describes a scene, and the agent uses create_task to generate 5 different 5-second clips to see which vibe works best.
- Real-world use case 02
Automated B-Roll
A content creator asks for a rainy cyberpunk street and the agent handles the Gen-3 Alpha Turbo settings to create a batch of assets.
- Real-world use case 03
Project Cleanup
A developer uses list_tasks and delete_task to clear out dozens of test generations before presenting a final reel to a client.
Complete set · 4capabilities
The complete Runway ML capability set.
These are the exact actions your AI can choose when you ask it to work with Runway ML.
01—04
4 capabilities in this set.
Part of 4 available through Runway ML.
- 01 Capability
Delete task
Remove a specific generation from your history. This helps you keep your workspace organized and clear out failed attempts.
- 02 Capability
Get task
Check the current status of a specific video generation. It tells you if the task is still processing or if it's ready to view.
- 03 Capability
Create task
Start a new video generation using specific models and settings. This lets your agent handle the technical parameters for Gen-3 Alpha or Gen-2.
- 04 Capability
List tasks
See a full list of your recent and active video generations. This helps you keep track of everything your agent has started for you.
Set up in minutes
One URL. Then ask Runway ML to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Runway ML 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_FzKS58CS7GrKP3SzLX2e7AIMNzTDbvY8eQtVxSEb/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, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Runway ML for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_FzKS58CS7GrKP3SzLX2e7AIMNzTDbvY8eQtVxSEb/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 URL.
- Step 03
Save and start
Save the connection and enable Runway ML in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"runway-ml-alternative": {
"url": "https://edge.vinkius.com/vk_preview_FzKS58CS7GrKP3SzLX2e7AIMNzTDbvY8eQtVxSEb/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
Open Agent mode in chat and ask: "Using Runway ML, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"runway-ml-alternative": {
"url": "https://edge.vinkius.com/vk_preview_FzKS58CS7GrKP3SzLX2e7AIMNzTDbvY8eQtVxSEb/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
Ask Copilot: "Using Runway ML, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"runway-ml-alternative": {
"url": "https://edge.vinkius.com/vk_preview_FzKS58CS7GrKP3SzLX2e7AIMNzTDbvY8eQtVxSEb/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
Open Cascade and ask: "Using Runway ML, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"runway-ml-alternative": {
"url": "https://edge.vinkius.com/vk_preview_FzKS58CS7GrKP3SzLX2e7AIMNzTDbvY8eQtVxSEb/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
Ask Cline: "Using Runway ML, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add runway-ml-alternative --transport http "https://edge.vinkius.com/vk_preview_FzKS58CS7GrKP3SzLX2e7AIMNzTDbvY8eQtVxSEb/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
Ask Claude: "Using Runway ML, show me...". 4 tools are ready
Where the request belongs
Work Runway ML can move forward.
This is for creative professionals who need to generate high-quality video content quickly without getting bogged down in manual API management or constant tab switching.
Creative Director
Needs to iterate on 10 different storyboards in an hour without manually clicking generate 10 times.
Social Media Manager
Wants to batch-create 10-second cinematic clips for a brand campaign using natural language descriptions.
Game Developer
Needs to generate consistent environment b-roll and textures to show off a game's atmosphere to stakeholders.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsRunway ML
Empower your AI with Runway ML's advanced video generation capabilities to seamlessly create, animate, and interpolate high-quality clips using Gen-3 and Gen-4 Turbo models directly from chat.
GAN.ai
Generate personalized videos at scale, track generation status, and oversee campaigns via AI agents with GAN.ai.
Colossyan
Automate AI video creation via Colossyan. generate videos from templates, manage avatars, and track rendering jobs directly from any AI agent.
Elai AI Video
Equip your AI agent to generate AI videos, manage avatars, and track rendering status via the Elai.io API.
Luma AI (Generative Video & Creative)
Generate cinematic AI videos and images via Luma. use Dream Machine for text-to-video, image-to-video, and professional camera control.
Creatomate
Equip your AI agent to automate video generation, rendering, and asset management via the Creatomate API.
Bring your own AI
Change the model, client or framework. Keep Runway ML 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.
The practical details behind the request, access and result.
Can I use the Runway ML MCP to make cinematic videos?
Yes, this Connector connects your agent to Runway ML so you can generate high-end video assets using natural language.
Does the Runway ML MCP support Gen-3 Alpha?
Yes, it allows your agent to trigger both Gen-3 Alpha Turbo and Gen-2 models with specific settings.
How does the Runway ML MCP handle video dimensions?
You can tell your agent the exact aspect ratio or dimensions you need, and it applies those to the generation task.
Can I see my previous video generations with the Runway ML MCP?
Yes, your agent can list your entire generation history so you can keep track of your projects.
Is the Runway ML MCP good for batch creating content?
It's great for this because you can ask your agent to generate multiple scenes in a row without manual clicking.
Can I cancel a video if it's not looking right?
Yes, the Connector allows your agent to cancel active tasks so you can start over immediately.
How do I start a new video generation with a specific prompt?
Use the create_task capability. You can specify the model (like gen3a_turbo), the promptText, and even optional parameters like duration (5 or 10 seconds) or ratio.
How can I check if my video is ready to download?
Use the get_task capability with your unique task ID. It will return the current status and the output URL once the generation is complete.
Is it possible to remove a task from my history or stop a running one?
Yes, the delete_task capability allows you to cancel an active generation or remove the record of a completed task from your account.
One connection away
Give your agent a direct line to Runway ML.
Connect Runway ML once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available