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Documentation Index

Fetch the complete documentation index at: https://docs.velocity.io/llms.txt

Use this file to discover all available pages before exploring further.

Velocity provides MCP skills for AI coding assistants to streamline SDK integration, automate quality checks, and ensure privacy compliance across iOS, Android, and Flutter platforms.

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Configuration

Add the Velocity MCP server to your AI coding tool’s configuration: 
{
  "mcpServers": {
    "velocity": {
      "url": "https://docs.velocity.io/mcp"
    }
  }
}
Claude Code: Add this to ~/.claude/settings.json or your project’s .claude/settings.json file. Cursor: Configure in Cursor Settings → Features → MCP Servers, or add to your Cursor configuration file. Windsurf: Add to your Windsurf MCP configuration in Settings → Extensions → MCP.

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Verify Connection

Test that your AI tool can access Velocity skills:
  1. Open your AI coding assistant
  2. Ask: “What Velocity skills are available?”
  3. You should see skills for integration, auditing, verification, and privacy checking
Once skills are visible, you’re ready to start building with AI assistance.

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Get Started

Ready to integrate the SDK? Here’s an example prompt to get started: 
Integrate Velocity SDK into my [iOS/Android/Flutter] project.

My app key is: YOUR_APP_KEY
My ad unit ID is: YOUR_AD_UNIT_ID
Your AI assistant will use the appropriate integrator skill to:
  • Install the SDK and dependencies
  • Configure initialization with your credentials
  • Set up ad unit integration
  • Guide you through platform-specific requirements

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Initial Integration

When adding Velocity to your project, use the integrator skills to guide SDK installation and configuration. These skills walk you through platform-specific setup, dependency management, and initial implementation for iOS, Android, and Flutter platforms. Available skills:
  • integrator-ios - Swift Package Manager or CocoaPods setup
  • integrator-android - Gradle integration and configuration
  • integrator-flutter - Pub package setup and platform bridging

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Quality Assurance

After integration, use auditor and verifier skills to ensure your implementation is production-ready. These skills review your SDK setup, check for common configuration issues, and validate that all required components are properly initialized. Available skills:
  • auditor-ios, auditor-android, auditor-flutter - Review code quality and SDK usage patterns
  • verifier-ios, verifier-android, verifier-flutter - Confirm SDK initialization and configuration correctness

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Privacy Compliance

Before release and as part of ongoing compliance checks, use privacy checker skills to review data handling practices, validate privacy settings, and ensure your integration meets platform privacy requirements. Available skills:
  • privacy-checker-ios - App Tracking Transparency and privacy manifest validation
  • privacy-checker-android - Permission usage and data safety review
  • privacy-checker-flutter - Cross-platform privacy configuration checks

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Troubleshooting

Skills not appearing?
  • Verify your MCP configuration syntax is correct
  • Ensure you’ve saved the settings file and restarted your AI tool
Connection errors?
  • Check your internet connection
  • Confirm the URL is https://docs.velocity.io/mcp
Still having issues?
  • Restart your AI coding tool
  • Check your tool’s MCP support documentation

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Learn More

New to MCP? Learn more in the Model Context Protocol documentation.