FastAPI OpenAPI
Transforms FastAPI application OpenAPI documentation into MCP (Model Context Protocol) Tools, enabling AI programming assistants to efficiently query API information and reduce token consumption.
About
The FastAPI OpenAPI MCP Server facilitates seamless integration between FastAPI applications and AI programming assistants by converting standard OpenAPI documentation into queryable Model Context Protocol (MCP) Tools. This innovative approach allows AI models to access API information on demand, precisely locate interfaces via tags, paths, or keywords, and receive structured API details, all while significantly reducing token expenditure. It's designed for projects with a large number of API interfaces, offering a smarter, more cost-effective way for AI to interact with and understand your API landscape.
Key Features
- On-demand API querying without loading full OpenAPI specifications
- Precise API interface targeting via tags, paths, and keywords
- Retrieves structured and easy-to-understand API information
- Significant reduction in AI context token consumption
- Supports JSON-RPC 2.0 for standard MCP protocol access
- 0 GitHub stars
Use Cases
- Optimizing AI context token usage for API interaction
- Integrating AI assistance for developing and debugging APIs
- Managing and exposing APIs with over 30 interfaces to AI models
