FireRed OpenStoryline
FireRed-OpenStoryline is an AI video editing agent that transforms manual editing into intention-driven directing through natural language interaction, LLM-powered planning, and precise tool orchestration. It facilitates transparent, human-in-the-loo
What is FireRed OpenStoryline?
FireRed OpenStoryline is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to firered-openstoryline is an ai video editing agent that transforms manual editing into intention-driven directing through natural language interaction, llm-powered planning, and precise tool orchestra...
FireRed-OpenStoryline is an AI video editing agent that transforms manual editing into intention-driven directing through natural language interaction, LLM-powered planning, and precise tool orchestration. It facilitates transparent, human-in-the-loo
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- FireRed-OpenStoryline is an AI video editing agent that tran
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx firered-openstorylineConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use FireRed OpenStoryline
FireRed-OpenStoryline is an AI video editing agent that transforms natural-language descriptions into fully produced videos through LLM-powered planning and tool orchestration. It handles the complete pipeline: smart media search and download, intelligent script generation with few-shot style transfer, BGM and voiceover recommendation with beat-syncing, conversational clip refinement, and AI transition generation between scenes. Video creators and developers use it as an MCP server so Claude Code or other agents can direct the entire editing workflow using plain language instructions.
Prerequisites
- Python 3.11+ (conda strongly recommended)
- Conda package manager (Miniforge recommended) installed
- API keys for LLM and media services configured in config.toml (see docs/source/en/api-key.md)
- wget installed (macOS: brew install wget; Ubuntu: sudo apt-get install wget)
- An MCP-compatible client such as Claude Code or Claude Desktop
Clone the repository
Clone the FireRed-OpenStoryline repository to your local machine.
git clone https://github.com/FireRedTeam/FireRed-OpenStoryline.git
cd FireRed-OpenStorylineCreate a Python 3.11 virtual environment
Create and activate a dedicated conda environment for the project.
conda create -n storyline python=3.11
conda activate storylineDownload resources and install dependencies
On macOS or Linux, the build script handles model and resource downloads automatically. On Windows, download models.zip and resource.zip manually per the README, then pip install.
# macOS / Linux (automatic)
sh build_env.sh
# Windows (manual)
# Download models.zip → extract to .storyline/
# Download resource.zip → extract to resource/
pip install -r requirements.txtConfigure API keys in config.toml
Edit config.toml in the project root and fill in your LLM provider API key and any media service credentials. Refer to docs/source/en/api-key.md for the full list of required keys.
Start the MCP server
Launch the OpenStoryline MCP server so it can receive tool calls from Claude Code or other MCP clients.
# macOS / Linux
PYTHONPATH=src python -m open_storyline.mcp.server
# Windows
$env:PYTHONPATH="src"; python -m open_storyline.mcp.serverConnect via Claude Code skills (optional)
FireRed ships built-in Claude Code skills for a guided install and usage experience. Copy them to your global Claude config to use them across projects.
mkdir -p ~/.claude/skills
cp -R .claude/skills/openstoryline-install ~/.claude/skills/
cp -R .claude/skills/openstoryline-use ~/.claude/skills/FireRed OpenStoryline Examples
Client configuration
Add FireRed-OpenStoryline as an MCP server in Claude Desktop so Claude can issue video editing commands.
{
"mcpServers": {
"firered-openstoryline": {
"command": "npx",
"args": ["firered-openstoryline"]
}
}
}Prompts to try
Example natural-language directions you can give Claude once FireRed-OpenStoryline is connected as an MCP server.
- "Create a 60-second travel vlog from the videos in my Downloads folder using an upbeat, documentary tone."
- "Search online for B-roll footage of Tokyo street food and combine it with the voiceover script I just wrote."
- "Swap the second clip in my current project for something with warmer lighting, and change the BGM to something more emotional."
- "Apply an ASR rough cut to remove filler words and repeated sentences from this interview recording."Troubleshooting FireRed OpenStoryline
build_env.sh fails to download models
Check your internet connection and confirm wget is installed (brew install wget on macOS). If the download URL is temporarily unavailable, follow the manual Windows installation steps in the README: download models.zip and resource.zip directly from the provided links and extract them to the correct directories.
MCP server starts but Claude cannot invoke editing tools
Ensure PYTHONPATH is set to src before launching the server, as the module path depends on it. Also confirm the conda environment is activated when starting the server — the server process must have access to all installed dependencies.
AI transition generation produces poor results or is very slow
AI transitions rely on third-party AIGC video generation services which can be costly and variable in quality. The README recommends enabling this feature only when needed. For best results, ensure the source clip endings and openings are clear and provide explicit natural-language transition descriptions.
Frequently Asked Questions about FireRed OpenStoryline
What is FireRed OpenStoryline?
FireRed OpenStoryline is a Model Context Protocol (MCP) server that firered-openstoryline is an ai video editing agent that transforms manual editing into intention-driven directing through natural language interaction, llm-powered planning, and precise tool orchestration. it facilitates transparent, human-in-the-loo It connects AI assistants to external tools and data sources through a standardized interface.
How do I install FireRed OpenStoryline?
Follow the installation instructions on the FireRed OpenStoryline GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with FireRed OpenStoryline?
FireRed OpenStoryline works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is FireRed OpenStoryline free to use?
Yes, FireRed OpenStoryline is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Set Up FireRed OpenStoryline in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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