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MCP Server Data Updater: Real-Time Syncing, Zero Errors - MCP Implementation

MCP Server Data Updater: Real-Time Syncing, Zero Errors

MCP Server Data Updater: Effortless real-time data syncing, zero errors, and maximum uptime. Finally, say goodbye to manual hassles!

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About MCP Server Data Updater

What is MCP Server Data Updater: Real-Time Syncing, Zero Errors?

This Python-powered marvel acts as a data collection Swiss Army knife, meticulously scraping MCP server metadata from the Awesome MCP Servers repository. It transforms raw GitHub readme content into a pristine JSON format, ensuring your data pipeline stays as fresh as a morning espresso while eliminating human error entirely.

How to Use MCP Server Data Updater: Real-Time Syncing, Zero Errors?

Follow this three-step wizardry to harness its power:

  1. Grab the grail: Clone the repository like a digital archaeologist
  2. git clone https://github.com/shiquda/awesome-mcp-server-index.git
  3. Cast the spell: Execute the script with incantations
  4. uv sync && uv run main.py
  5. Reap the rewards: Marvel at the generated mcp_servers.json file

Pro tip: The included GitHub Workflow automates this ritual every 8 hours - no priestly chanting required.

MCP Server Data Updater Features

Key Features of MCP Server Data Updater: Real-Time Syncing, Zero Errors?

  • Automation over adrenaline: Harvests the latest MCP server details with the precision of a robotic librarian
  • JSON alchemy: Transmutes raw text into structured data fit for API consumption or integration with your favorite tools
  • Scheduled syncs: A built-in GitHub Actions "cron-borg" ensures updates occur like clockwork without manual intervention

Use Cases of MCP Server Data Updater: Real-Time Syncing, Zero Errors?

Perfect for:

  • Developers building MCP server directories needing freshness guarantees
  • Data analysts craving machine-readable server metadata repositories
  • Automation engineers seeking error-free data pipelines
  • GitHub maintainers who hate manual updates more than cats hate bath time

MCP Server Data Updater FAQ

FAQ from MCP Server Data Updater: Real-Time Syncing, Zero Errors?

Can I adjust the update schedule?
Yes! Modify the cron expression in mcp_index_update.yml like a time wizard
What happens if errors occur?
GitHub Actions sends a distress signal via email - no failed updates go unnoticed
Does it support other output formats?
Currently JSON-only, but contributions for YAML/CSV support are welcomed
How do I contribute?
Open an issue for new ideas or submit a pull request - we're all in this data-syncing mess together!

Content

MCP Server Data Updater

This project is a Python script that fetches and parses MCP (Model Context Protocol) server data from the Awesome MCP Servers repository. The script extracts server details such as name, GitHub link, description, and category, and saves the data in a JSON file (mcp_servers.json).

Features

  • Automated Data Fetching : The script fetches the latest MCP server data from the README.md file of the Awesome MCP Servers repository.
  • JSON Output : The parsed data is saved in a structured JSON format for easy integration with other tools or applications.
  • Scheduled Updates : A GitHub Workflow is included to run the script every 8 hours and automatically commit the updated JSON file to the repository.

Usage

Prerequisites

  • Python 3.9 or higher
  • requests library (install via pip install requests)

Running the Script Locally

  1. Clone the repository:

    git clone https://github.com/shiquda/awesome-mcp-server-index.git

cd awesome-mcp-server-index
  1. Run the script:

    uv sync

uv run main.py
  1. The output will be saved in mcp_servers.json.

GitHub Workflow

The included GitHub Workflow (mcp_index_update.yml) runs the script every 8 hours and automatically commits the updated JSON file to the repository. To enable this:

  1. Ensure the workflow file is placed in .github/workflows/mcp_index_update.yml.
  2. Push the changes to your repository.

The workflow will trigger automatically based on the schedule or can be manually triggered from the GitHub Actions page.

Output Example

The mcp_servers.json file contains an array of MCP server objects, each with the following structure:

{
    "category": {
        "Browser Automation": {
            "category_icon": "📂",
            "servers": [
                {
                    "name": "@blackwhite084/playwright-plus-python-mcp",
                    "github_url": "https://github.com/blackwhite084/playwright-plus-python-mcp",
                    "description": "An MCP python server using Playwright for browser automation, more suitable for LLM"
                }
            ]
        },
    }
}

## Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

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