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Encoding DevOps MCP Server

by PatrickKalkman
GitHub
Python
MIT License
1
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🎬 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

🚀 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 Medium article about using MCP to handle encoding fires.

This server cannot be installed

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

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

AI-powered assistant that connects Claude to video encoding workflows, translating cryptic errors into plain English and providing actionable solutions for troubleshooting encoding jobs.

  1. ✨ What's Cool About This?
    1. 🚀 Getting Started
      1. You'll Need
      2. Quick Setup
    2. 💡 How to Use It
      1. 🔧 Under the Hood
        1. 🤝 Want to Help?
          1. 📋 Coming Soon
            1. 📝 License
              1. 🙌 Thanks To

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