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vibevideo-mcp

by hyepartners-gmail/vibevideo-mcp

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Agent MCP for ffmpeg

pythonnodejsVideo & Audio

VibeVideo-MCP

Overview

This monorepo contains an MCP server for agentic video editing. It also powers a front-end human user editor. It’s built and maintained by HYE Partners.


Installation

You’ll need Node.js, npm (or pnpm/yarn), and Python 3.12+ (with pip).
These instructions assume a Unix-like OS (Mac/Linux), but should be adaptable for Windows. Docker instructions below.

  • Start the Python backend first (main.py)
  • Then start the Node backend (npm run dev in ffmpeg-frontend)
  • Then run the Python agent (ollamarun.py) for natural language jobs

Clone the Repo

Install the ffmpeg-backend components

  • cd ffmpeg-backend
  • python3 -m venv .venv
  • source .venv/bin/activate
  • pip install -r requirements.txt

If you don't have ffmpeg installed

  • pip install ffmpeg

Install the ffmpeg-frontend components

  • cd ffmpeg-frontend
  • npm install

Structure

The project includes three main servers:

1. React Front-End (Vite)

  • URL: http://localhost:8080/
  • Dev: Runs on Vite
  • For: User front-end that gives you access to all of the video editing tools
  • Run: (This launches both the React front-end and Node back-end in dev mode)
  • npm run dev

2. Node.js Back-End (Express)


3. Python Back-End (FFmpeg Command Runner)

  • URL: http://127.0.0.1:8200
  • For: Flask App handles all ffmpeg-powered media processing jobs
  • Run:
  • python main.py

4. Python Agent (Ollama Runner)

  • A simple Ollama agent running locally, for making one request at a time, media edits in natural language
  • Run:
  • python ollamarun.py

Suggested Models (must have function calling/tools):

  • command-r7b:latest
  • devstral:latest
  • qwen3:latest
  • phi4-mini:latest
  • mistral-nemo:latest
  • llama3.1:8b
  • llama3.3:latest
  • qwen2.5-coder:latest
  • firefunction-v2:latest
  • llama4:scout

Running with Docker (Optional)

If you want everything to "just work" via Docker:

Build and run both back-end servers with Docker Compose (from repo root):

docker-compose up --build

The following ports will be available:

Frontend (Vite): http://localhost:8080/ Node API server: http://localhost:8300/ Python FFmpeg backend: http://localhost:8200/

You can still use npm run dev/python main.py for local dev if you prefer. Note: The Docker setup mounts local source code, so edits will live-reload in most setups.


Roadmap Items

June 3rd 2025

  1. Better Timeline editing, Get Render working
  2. Dashboard Metrics / Run counts
  3. Connector to CrewAI
  4. MCP for some of the non-ffmpeg filters

Usage

  • Free for any use: personal, research, or commercial.
  • If you use this or build on top of it, a shout-out to HYE Partners is appreciated!
  • If you fix bugs please submit PRs so everyone can benefit

License

Open use. Attribution requested, not required.

For issues, improvements, or collaboration, visit www.hyepartners.com.


Common Problems & Fixes

1. Can’t find requirements.txt or Dockerfile?

  • These files are present in the repo under ffmpeg-backend/ and ffmpeg-frontend/.

  • If you don’t see them, make sure you’ve done a fresh git pull or git clone from the latest branch.

  • If issues persist, check your local .gitignore or .git/info/exclude for accidental blocks.

2. Flask or Other Python Dependency Errors?

  • If pip install -r requirements.txt fails with missing modules (like Flask), open requirements.txt and manually add any missing packages.

  • Run pip install -r requirements.txt again.

3. Node.js Import Error with JSON Files?

  • If you get SyntaxError: Unexpected identifier 'assert', you need "type": "module" in your package.json, and Node.js >= 17.5+.

  • For maximum compatibility, use require() instead of import for JSON in server files, or convert the file to CommonJS if needed.

4. Order of Startup

  • Python Backend (main.py) — must be running before the Node.js server.

  • Node.js Frontend/Backend (npm run dev) — launches both client and API server.

  • Python Agent (ollamarun.py) — optional, for natural language commands.

  • Docker Compose — launches all together.

Install

No configuration available
For more configuration details, refer to the content on the left

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