Encoding DevOps Assistant
STDIOAI-powered assistant that connects Claude to encoding workflow for troubleshooting video encoding issues.
AI-powered assistant that connects Claude to encoding workflow for troubleshooting video encoding issues.
Ever been woken up at 3 AM by a failed encoding job? Say goodbye to those late-night troubleshooting sessions! This Model Context Protocol (MCP) server connects Anthropic's Claude directly to your encoding workflow, making video encoding issues a breeze to handle.
curl -LsSf https://astral.sh/uv/install.sh | sh uv pip install encoding-devops
# Copy the example config cp .env.example .env # Add your API keys nano .env
uv run mcp install ./src/encoding_devops/main.py
# Start the MCP server uv run mcp dev ./src/encoding_devops/main.py # In Claude Desktop, you can now ask things like: "What's wrong with job XYZ-123?" "Draft an email about the failed encoding job" "Check the encoding cluster status"
The MCP server uses three main components to help you:
We'd love your input! Here's how you can contribute:
git checkout -b feature/awesome-feature
)git commit -m 'Add awesome feature'
)git push origin feature/awesome-feature
)This project is licensed under the MIT License - see the LICENSE file for details.
💤 Built by a developer who wanted to sleep through the night. If this helps you too, give us a star!
Read the full story behind this project in my Medium article about using MCP to handle encoding fires.