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VS Code CopilotIDE
Why use Runway ML MCP Server with VS Code Copilot?

Bring Video Generation
to VS Code Copilot

Create your Vinkius account to connect Runway ML to VS Code Copilot and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Cancel TaskGen3 TurboGen4 TurboGet OrganizationGet TaskImage Text To VideoImage To VideoInterpolateList TasksText To Video
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Compatible with every major AI agent and IDE

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Runway ML

What is the 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.

What you can do

  • Text-to-Video Generation — Write detailed prompts to synthesize entirely new, imaginative scenes using gen3_turbo, gen4_turbo, or the standard text_to_video tooling.
  • Image-to-Video Animation — Bring still images to life using image_to_video or precisely guide the motion of a starting image with a textual director prompt using image_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).

How it works

  1. Successfully enable the Runway ML integration within this application hub.
  2. Sign into your Runway Developer Portal and access the API Keys section.
  3. Once you generate a new, secure token, paste it securely into the connection configuration below.
  4. Chat with your AI: "Generate a 10 second cinematic video of a futuristic cyberpunk city using Gen-3 Turbo."

Who is this for?

  • Creative Directors & Media Teams — Develop storyboards, conceptualize scenes, or rapidly prototype full commercial grade sequences inside simple textual conversations.
  • Social Content Creators — Generate eye-catching B-roll quickly using high-grade diffusion models exactly tailored directly from prompt instructions.

Built-in capabilities (10)

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

Why VS Code Copilot?

GitHub Copilot Agent mode brings Runway ML data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

  • VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

  • Project-scoped MCP configs (.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

  • Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

  • GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

See it in action

Runway ML in VS Code Copilot

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Runway ML with Vinkius?

The Runway ML connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

View full Runway ML details →
Runway ML
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Runway ML using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Runway ML and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Runway ML to VS Code Copilot through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Runway ML for VS Code Copilot

Every request between VS Code Copilot and Runway ML is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

05

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

06

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

07

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

08

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

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