Your project is listed on Spark — claim your listing

View original issue on GitHub  ·  Variant 1

Claim Your Project Listing on Spark

Your project, 13rac1/videocapture-mcp, has been automatically listed on Spark, a curated catalog of AI tools, agents, prompts, and MCP connectors. This listing provides increased visibility for your project within the AI community.

This article guides you through the process of claiming your project listing on Spark, enabling you to manage its information and gain access to valuable analytics.

Why Claim Your Listing?

Claiming your listing offers several benefits:

How to Claim Your Listing (Step-by-Step)

The claiming process is straightforward and should only take a few minutes:

  1. Navigate to the Claim Page: Go to https://spark.entire.vc/claim/vb-video-still-capture. This is the specific claim page for the videocapture-mcp project.
  2. Sign In with GitHub: Click the "Sign in with GitHub" button. You'll be redirected to GitHub to authorize Spark to access your account.
  3. Verify Push Access: Spark will verify that your GitHub account has push access to the 13rac1/videocapture-mcp repository. This confirms that you are a maintainer of the project.
  4. Complete the Claim: Once push access is verified, the claiming process is complete! You'll be able to access and manage your project listing on Spark.

Managing Your Listing

After claiming your listing, you can edit the following:

Regularly update your listing to keep it accurate and engaging. This will help attract more users and ensure they have the latest information about your project.

Adding a "Listed on Spark" Badge to Your README

To promote your project's presence on Spark, consider adding a badge to your README file. This can be done using Markdown:

[![Listed on Spark](https://img.shields.io/badge/Listed%20on-Spark-blue)](https://spark.entire.vc/assets/vb-video-still-capture)

This code will display a badge in your README that links directly to your project's listing on Spark.

Related Considerations

By claiming and managing your project listing on Spark, you can increase its visibility, attract more users, and contribute to the growth of the AI community.