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

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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: Google Ads MCP

🚀 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
  1. Set up your environment:

# Copy the example config cp .env.example .env # Add your API keys nano .env
  1. 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

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security - not tested
A
license - permissive license
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quality - not tested

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