Runway ML MCP Server for Cline 10 tools — connect in under 2 minutes
Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Runway ML through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Runway ML and 2,500+ MCP Servers from a single visual interface.




{
"mcpServers": {
"runway-ml": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Runway ML tool calls without waiting for prompts between steps. Connect 10 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
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 Cline 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 Cline via MCP
Follow these steps to integrate the Runway ML MCP Server with Cline.
Open Cline MCP Settings
Click the MCP Servers icon in the Cline sidebar panel
Add remote server
Click "Add MCP Server" and paste the configuration above
Enable the server
Toggle the server switch to ON
Start using Runway ML
Ask Cline: "Using Runway ML, help me...". 10 tools available
Why Use Cline with the Runway ML MCP Server
Cline provides unique advantages when paired with Runway ML through the Model Context Protocol.
Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
Runway ML + Cline Use Cases
Practical scenarios where Cline combined with the Runway ML MCP Server delivers measurable value.
Autonomous feature building: tell Cline to fetch data from Runway ML and scaffold a complete module with types, handlers, and tests
Codebase refactoring: use Runway ML tools to validate live data while Cline restructures your code to match updated schemas
Automated testing: Cline fetches real responses from Runway ML and generates snapshot tests or mocks based on actual payloads
Incident response: query Runway ML for real-time status and let Cline generate hotfix patches based on the findings
Runway ML MCP Tools for Cline (10)
These 10 tools become available when you connect Runway ML to Cline 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 Cline
Ready-to-use prompts you can give your Cline 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 Cline
Common issues when connecting Runway ML to Cline through the Vinkius, and how to resolve them.
Server shows error in sidebar
Runway ML + Cline FAQ
Common questions about integrating Runway ML MCP Server with Cline.
How does Cline connect to MCP servers?
Can Cline run MCP tools without approval?
Does Cline support multiple MCP servers at once?
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 Cline
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
