API to MCP

API to MCP is a tool that converts existing REST and GraphQL APIs into hosted Model Context Protocol (MCP) servers. In practice, this means you can take an API from a service like your company's CRM, a SaaS platform, or a public data source and turn it into a set of tools that AI agents in environments like Claude Code, Cursor, or VS Code can understand and use directly. It handles the complex bridge between the AI's request and the specific authentication and data format your API requires.

The tool stands out by offering two distinct ways to build these servers. You can use a visual, step-by-step dashboard for full control, or you can connect its 'Manager MCP' to your AI coding agent and simply describe the API you want to convert—letting the agent handle the configuration, testing, and deployment. It supports a wide range of real-world authentication methods, including OAuth, API keys, and Bearer tokens, and includes features like workflow tools (for multi-step API calls) and JMESPath mapping to clean up complex API responses for the AI.

This is most useful for developers and teams who are already using AI-assisted coding environments and want to give those agents safe, structured access to internal or external APIs. Real-world use cases include exposing a business's internal support ticket system to an agent for quick lookups, connecting marketing analytics APIs for reporting, or creating a public MCP server for an open weather data API that any developer can plug into their agent.