FlowMCP is a framework for adapting existing web APIs into a standardized Model Context Protocol (MCP) interface, enabling structured, testable, and semantically consistent access for AI systems.
Overview
What is FlowMCP?
FlowMCP is a framework designed to adapt existing web APIs into a standardized Model Context Protocol (MCP) interface, facilitating structured, testable, and semantically consistent access for AI systems.
How to use FlowMCP?
To use FlowMCP, define your API schemas in a .mjs file, activate the FlowMCP server tools, and connect to the server for testing and interaction with your APIs.
Key features of FlowMCP?
- Schema-based integration for clear API definitions.
- Modifier system for pre-, post-, and execute-phase handlers.
- Inline parameters with Zod validation for type enforcement.
- Embedded test coverage for real-world API interactions.
- Human-readable text-based output for results.
Use cases of FlowMCP?
- Bridging REST or GraphQL APIs with AI systems.
- Standardizing API interactions for better compatibility.
- Automating schema generation using AI tools.
FAQ from FlowMCP?
- Can FlowMCP work with any web API?
Yes! FlowMCP can adapt various web APIs, including REST and GraphQL.
- Is there a tool for generating schemas?
Yes! An AI-based schema generator is available to create FlowMCP-compliant schemas automatically.
- How can I contribute to FlowMCP?
Contributions are welcome via pull requests, following the schema rules and validation.