Encoding DevOps MCP Server

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.

Integrations

  • Manages environment variables for storing API credentials and configuration settings

  • Mentioned as a planned future integration for sending notifications about encoding job status and issues

šŸŽ¬ 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.

āœØ 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

šŸš€ 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

šŸ’” 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"

šŸ”§ 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

šŸ¤ 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

šŸ“‹ Coming Soon

  • Integration with more encoding workflow systems
  • Advanced log analysis patterns
  • Automated health checks
  • Slack notifications
  • Custom email templates

šŸ“ License

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

šŸ™Œ Thanks To

  • Anthropic team for the MCP framework
  • All our contributors
  • The DevOps community for feedback and suggestions

šŸ’¤ 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.

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

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. āœØ What's Cool About This?
    1. šŸš€ Getting Started
      1. You'll Need
        1. Quick Setup
        2. šŸ’” How to Use It
          1. šŸ”§ Under the Hood
            1. šŸ¤ Want to Help?
              1. šŸ“‹ Coming Soon
                1. šŸ“ License
                  1. šŸ™Œ Thanks To