Runway Api MCP Server
R

Runway Api MCP Server

This is an MCP server project based on the Runway API, allowing users to call various AI generation functions of Runway through Claude Desktop, including tools such as video generation, image generation, video editing, and upscaling.
2.5 points
4.6K

What is the Runway API MCP Server?

This is a Model Context Protocol (MCP) server specifically designed to connect Claude AI with Runway's AI video generation platform. It allows you to create, edit, and enhance video content through simple conversation instructions without the need for complex video editing skills.

How to use the Runway API MCP Server?

Simply install and configure this server in Claude Desktop, and then tell Claude what kind of video or image you want to create through natural language. Claude will automatically call Runway's AI tools to generate the content you need.

Applicable scenarios

Suitable for users such as content creators, marketers, educators, and social media operators who need to quickly generate high-quality video content. Particularly applicable to scenarios such as creative video production, product demonstrations, and educational content.

Main features

Video generation
Generate dynamic video content from images and text prompts, supporting custom duration and aspect ratio.
Generate high-quality AI images based on text descriptions and reference images.
Video upscaling
Upgrade low-resolution videos to higher image quality and improve video clarity.
Intelligent video editing
Edit existing videos through text instructions, add special effects or modify content.
Task management
View, cancel, and manage the progress of video generation tasks in real-time.
Advantages
No video editing skills are required. You can create professional videos through natural language.
Integrated into the Claude conversation, providing a smooth and natural user experience.
Supports multiple video and image generation functions to meet diverse needs.
Based on Runway's mature AI technology, the generation quality is guaranteed.
Limitations
The generated image links are only saved for 24 hours. Please download them in time.
A Runway API key and a valid billing account are required.
Reference images only support already generated images or URL links and do not support direct uploads.
The video generation time may be long. Please be patient.

How to use

Prepare a Runway account
Visit the Runway developer platform to register an account, set up the billing method, and obtain an API key.
Install the Node.js environment
Ensure that your computer has the Node.js runtime environment installed.
Download and build the server
Clone the code repository, install the dependencies, and build the server.
Configure Claude Desktop
Edit the Claude configuration file and add the Runway MCP server configuration.
Restart and start using
Restart Claude Desktop. Now you can use the Runway video generation function through conversation.

Usage examples

E-commerce product video production
Create dynamic showcase videos for product images in an online store to attract customers' attention.
Social media content creation
Create eye-catching short video content for social media platforms.
Educational content enhancement
Convert static educational charts into dynamic explanatory videos.

Frequently Asked Questions

How long will the generated videos and images be saved?
What video formats and resolutions are supported?
How long does video generation take?
How can I obtain a Runway API key?
Can I upload my own images as references?

Related resources

Runway developer documentation
Complete Runway API technical documentation and interface descriptions.
MCP protocol official website
Official documentation and specifications for the Model Context Protocol.
Claude Desktop configuration guide
Detailed tutorial on configuring the Claude Desktop MCP server.
GitHub code repository
Source code and latest updates for this project.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "runway-api-mcp-server": {
      "command": "node",
      "args": [
        "<ABSOLUTE_PATH_TO_YOUR_CLONED_REPO_FROM_STEP_1>/build/index.js"
      ],
      "env": {
        "RUNWAYML_API_SECRET": "<YOUR_RUNWAY_API_KEY_HERE>",
        "MCP_TOOL_TIMEOUT": "1000000"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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