PostMCP – Turn any OpenAPI spec into a context-optimized MCP server (github.com)

PostMCP has been launched to transform any OpenAPI or Swagger specification into a fast, context-optimized Model Context Protocol (MCP) server with minimal coding effort. This tool addresses significant challenges faced by AI coding assistants, such as context bloat and token drowning, which occur when accessing extensive APIs. By enabling a "token diet," PostMCP can strip unnecessary data from API responses, reducing token usage by 70% to 95%, which is crucial for maintaining efficient interactions with large models. The significance of PostMCP lies in its ability to streamline the integration of external APIs into AI development workflows. It features zero-code execution, adaptive on-demand endpoint loading, and dry-run protection to prevent accidental production changes. Developers can easily inspect APIs, manage authentication complexities, and utilize a local visual studio for testing and configuration. PostMCP not only enhances productivity for developers but also ensures safer interactions with APIs, positioning it as a valuable tool in the AI/ML community's toolkit for building more effective AI agents.