Supabase RLS Leak Demo vs Clipto MCP
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Clipto MCP leads with 585 upvotes
Reproduce a cross-tenant RLS leak and verify the fix
Supabase RLS Leak Demo is a focused, open-source testing tool designed for developers and founders working on multi-tenant applications. It provides a simple yet powerful fixture to simulate a cross-tenant Row-Level Security (RLS) leak in PostgreSQL, allowing users to verify whether their security policies are truly effective. By running a straightforward test suite with commands like 'npm ci && npm test', users can identify potential leaks and confirm their fixes—no need for Docker, cloud credentials, or production data. This makes it an excellent resource for teams committed to security and data integrity in multi-tenant SaaS platforms. The tool's unique value lies in its ability to demonstrate that a policy may appear correct but still harbor vulnerabilities, offering clear evidence before deploying to production.
Pros
- Simple setup with zero dependencies on Docker or cloud credentials
- Open-source and easy to run locally for immediate security testing
- Provides clear, reproducible evidence of security leaks and fixes
- Designed specifically for multi-tenant SaaS applications
- Helps teams validate security policies before deployment
Cons
- Limited to PostgreSQL and Supabase environments
- Primarily focused on RLS leak testing, not a comprehensive security suite
- Requires familiarity with SQL policies and testing practices
Best for
- • Testing and verifying multi-tenant data security policies
- • Demonstrating RLS vulnerabilities during security audits
- • Validating fixes for RLS leaks before production deployment
- • Educational tool for developers learning about RLS security
Pricing: Open source and free to use, with no costs involved. It is designed as a lightweight fixture for local testing and validation.
Let agents source clips from terabytes of your local video
Clipto MCP is an innovative AI-powered tool designed to transform how users manage and extract media from large collections of local videos, photos, and audio recordings. By integrating with AI agents like Claude and ChatGPT, it allows users to effortlessly source specific clips or segments through natural language descriptions, eliminating the need for manual browsing. Whether turning scripts into videos, locating scenes with particular topics, or creating rough cuts, Clipto MCP acts as a virtual assistant that streamlines media editing and searching processes. Its ability to handle terabytes of media and provide precise, context-aware results makes it especially valuable for content creators, video editors, and digital archivists seeking efficiency and automation in media management. What sets it apart is its seamless integration with AI agents, transforming complex file searches into simple conversational commands, saving time and effort while enhancing productivity.
Pros
- Enables natural language-based media searches and sourcing
- Handles large media libraries efficiently
- Integrates smoothly with AI assistants like Claude and ChatGPT
- Speeds up editing, research, and content creation workflows
- Reduces manual browsing and tedious file management
Cons
- Limited information on pricing and subscription models
- Requires familiarity with AI tools and commands
- Potentially dependent on AI accuracy for precise results
Best for
- • Turning scripts into videos by matching sentences with local footage
- • Finding all scenes or segments where specific topics or keywords are mentioned
- • Creating rough cuts or highlights from extensive video libraries
- • Searching and organizing media for archival or research purposes
Pricing: Likely operates on a freemium or subscription-based model, with basic features possibly available for free and paid plans offering advanced capabilities, especially for handling large media libraries and AI integrations. Exact pricing details are not publicly specified.