Generate MCP servers from OpenAPI documents

AI agents are increasingly integral in software interactions, necessitating a standardized method to interact with APIs, which is where the Model Context Protocol (MCP) comes into play. Introduced by Anthropic in 2024, MCP provides a universal standard for AI agents to connect to APIs and data sources, transforming OpenAPI-documented endpoints into discoverable tools for these agents. Several tools, including Speakeasy, Gram, FastMCP, and openapi-mcp-generator, enable automatic generation of MCP servers from OpenAPI documents, each offering varying levels of customization, hosting models, and automation to suit different needs. While Speakeasy and openapi-mcp-generator support self-hosting with extensive code control, platforms like Gram and FastMCP Cloud offer managed hosting options for ease of use and quick deployment. These tools convert OpenAPI specifications into MCP server implementations, simplifying the process of making APIs accessible to AI agents while ensuring consistency and eliminating the redundant effort of maintaining separate specifications. By adopting these solutions, teams can enhance their APIs' readiness for AI-driven interactions, optimizing their OpenAPI documents for clarity and completeness to better serve AI agents' needs.