Flow
Createda6b8
Streamlines API integration for AI systems by adapting and exposing REST APIs through a standardized Model Context Protocol (MCP) interface.
About
Flow abstracts complex APIs into structured, AI-friendly schema definitions, facilitating seamless communication between external data sources and AI interfaces. By using schema-based integration, modifiers for pre/post processing, automated testing, and text-based outputs, Flow ensures APIs are consumed in a structured, testable, and semantically consistent way.
Key Features
- Schema-Based Integration with AI-optimized parameters
- Pre/Post Processing Modifiers for data normalization
- Automated Testing for route functionality
- Text-Based Output with detailed error messages
- Declarative schemas defined using Zod interfaces
- 0 GitHub stars
Use Cases
- Exposing existing web APIs to AI systems
- Creating structured API definitions for AI consumption
- Automating API testing and validation
