Flow

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Flow abstracts complex APIs into structured, AI-friendly schema definitions, streamlining communication between external data sources and AI interfaces. It enables the transformation of existing web APIs into a standardized Model Context Protocol (MCP) interface, allowing for structured, testable, and semantically consistent access for AI systems.

Características Principales

• Automated Testing: Includes built-in test cases to ensure route functionality.
• Text-Based Output: Returns results in human-readable text with detailed error messages.
• Modifiers: Provides pre/post-processing for data normalization and formatting.
• Schema-Based Integration: Uses schemas to describe API routes optimized for AI understanding.
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• Schema Validation: Provides tools to validate schema definitions.

Casos de Uso

• Creating testable and semantically consistent access to external data sources.
• Integrating web APIs with AI systems in a structured manner.
• Normalizing and formatting API data for AI consumption.