🎬 Encoding DevOps MCP Server: AI-Powered Video Encoding Assistant

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.

✨ What's Cool About This?

• Smart Error Translation: Turns cryptic "moov atom not found" messages into plain English

• Real-time Analysis: Connects directly to your encoding workflow and database

• Human-Friendly Responses: Generates clear, actionable solutions for your team

• Auto-Email Draft: Creates professional client communications with context

• Always On Guard: Monitors your encoding jobs 24/7

• Keeps You in Control: Suggests actions but lets you make the final call

Related MCP server: TranscriptionTools MCP Server

🚀 Getting Started

You'll Need

• Python 3.11 or higher

• Claude Desktop

• Your encoding workflow API credentials

• OMDB API key (optional, for movie metadata)

Quick Setup

1. Install the package using UV:

curl -LsSf https://astral.sh/uv/install.sh | sh
uv pip install encoding-devops

2. Set up your environment:

# Copy the example config
cp .env.example .env

# Add your API keys
nano .env

3. Register with Claude Desktop:

uv run mcp install ./src/encoding_devops/main.py

💡 How to Use It

# 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"

🔧 Under the Hood

The MCP server uses three main components to help you:

1. Resources: Email templates, error guides, and documentation

2. Tools: Job status checks, log analysis, and email drafting

3. Prompts: Instructions that help Claude understand encoding issues

🤝 Want to Help?

We'd love your input! Here's how you can contribute:

1. Fork it

2. Create your feature branch (git checkout -b feature/awesome-feature)

3. Commit your changes (git commit -m 'Add awesome feature')

4. Push to the branch (git push origin feature/awesome-feature)

5. Open a Pull Request

📋 Coming Soon

• Integration with more encoding workflow systems

• Advanced log analysis patterns

• Automated health checks

• Slack notifications

• Custom email templates

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙌 Thanks To

• Anthropic team for the MCP framework

• All our contributors

• The DevOps community for feedback and suggestions

💤 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.