Your project is listed on Spark — claim your listing

Claiming Your Project Listing on Spark

The issue reported highlights that the mcp-netbird project (aantti/mcp-netbird) has been automatically listed on Spark, a catalog of AI tools and connectors. While this provides increased visibility, the project maintainers initially lack control over the listing's content and analytics. This means the title, description, tags, and download statistics are not directly manageable by the developers.

The core problem is that the listing is initially "unclaimed." Until a maintainer verifies their association with the project, they cannot directly edit the listing details or access the full range of features offered by Spark.

Root Cause

Spark likely uses automated processes, such as web scraping and GitHub API analysis, to identify and list relevant projects. This allows them to quickly populate their catalog. However, this automated listing process doesn't inherently verify the maintainership. Consequently, a mechanism is needed to allow legitimate maintainers to assert ownership and gain control over their project's Spark listing.

Solution: Claiming the Listing

The suggested solution is straightforward and involves a verification process through GitHub:

1. Navigate to the Claim Page: Go to the specific claim URL provided: https://spark.entire.vc/claim/vb-netbird.
2. Sign in with GitHub: Authenticate using your GitHub account. This allows Spark to verify your identity and repository access.
3. Verify Push Access: The system will check if your GitHub account has push access to the aantti/mcp-netbird repository. This is the key step in confirming your role as a maintainer.
4. Complete the Claim: Once the push access is verified, the listing is claimed, and you gain access to editing and analytics features.

After claiming the listing, you will be able to:

• Edit the title, description, and tags to accurately represent your project.
• Access download analytics to understand the listing's performance.
• Add a "Listed on Spark" badge to your README file to further promote your project's presence on the platform.

Adding a badge to your README file is a good practice to increase visibility. Here's an example of how you might add such a badge using Markdown:

[![Listed on Spark](https://spark.entire.vc/assets/images/spark-badge.svg)](https://spark.entire.vc/assets/vb-netbird)

Practical Tips and Considerations

• Promptness: Claim the listing as soon as possible to prevent others from potentially misrepresenting your project.
• Accuracy: Ensure the title, description, and tags accurately reflect your project's functionality and target audience.
• Analytics: Regularly monitor the download analytics to understand how users are discovering and interacting with your project through Spark.
• Badge Placement: Place the "Listed on Spark" badge prominently in your README file, typically near the top, to maximize visibility.
• Contact Support: If you encounter any issues during the claiming process, reach out to Spark's support team (howard@entire.vc) for assistance.

By claiming your project's listing on Spark, you gain control over its presentation and can leverage the platform to increase its visibility and adoption.