2,500+ MCP servers ready to use
Vinkius

Runway ML MCP Server for Cline 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools IDE

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.

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

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.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "runway-ml": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Runway ML
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 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).

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.

01

Open Cline MCP Settings

Click the MCP Servers icon in the Cline sidebar panel

02

Add remote server

Click "Add MCP Server" and paste the configuration above

03

Enable the server

Toggle the server switch to ON

04

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.

01

Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts

02

Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window

03

Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation

04

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.

01

Autonomous feature building: tell Cline to fetch data from Runway ML and scaffold a complete module with types, handlers, and tests

02

Codebase refactoring: use Runway ML tools to validate live data while Cline restructures your code to match updated schemas

03

Automated testing: Cline fetches real responses from Runway ML and generates snapshot tests or mocks based on actual payloads

04

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:

01

cancel_task

This action is irreversible. Cancels a running generation task

02

gen3_turbo

Quick 5-second video generation using Gen-3 Alpha Turbo

03

gen4_turbo

High-quality video generation using Gen-4 Turbo

04

get_organization

Retrieves Runway ML organization and credit details

05

get_task

Look for SUCCEEDED status and output URL. Retrieves the status and output of a generation task

06

image_text_to_video

Generates video from both an image and a text prompt

07

image_to_video

Specify source image URL, model, and duration. Animates a still image into a video

08

interpolate

Creates smooth motion between two keyframe images

09

list_tasks

Lists recent generation tasks

10

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.

01

"Create a 5 second cinematic video showing a sunset over an alien planet using Runway Gen-3 Turbo."

02

"Take this reference image URL and animate it with Gen-3 Turbo to make the camera slowly pan backwards."

03

"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.

01

Server shows error in sidebar

Click the server name to see logs. Verify the URL and token are correct.

Runway ML + Cline FAQ

Common questions about integrating Runway ML MCP Server with Cline.

01

How does Cline connect to MCP servers?

Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.
02

Can Cline run MCP tools without approval?

By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.
03

Does Cline support multiple MCP servers at once?

Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.

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.