Apifox MCP Server

The Apifox MCP Server bridges the gap between AI assistants and the rich API ecosystem housed within Apifox projects. By exposing a Model Context Protocol (MCP) interface, it allows tools such as Claude or other LLM‑powered assistants to query Apifox for precise, up‑to‑date endpoint specifications without leaving the AI environment. This eliminates the need to manually copy or hard‑code API contracts, reducing friction in rapid prototyping and automated code generation.

At its core, the server implements a single, well‑defined tool: . When an AI assistant calls this tool with a project and endpoint identifier, the server retrieves the full OpenAPI‑style schema from Apifox. The response includes HTTP method, headers, path/query/body parameters, and the exact JSON schema for both request and response bodies. This structured data empowers assistants to generate type‑safe client code, create accurate unit tests, or produce detailed documentation—all in real time.

Developers benefit from several key capabilities. First, the server works over stdio, making it lightweight and platform‑agnostic; it can run in any environment that supports Node.js. Second, the integration is declarative: a simple JSON configuration adds the MCP server to a workflow such as Cursor, allowing assistants to automatically pull in API contracts during collaboration sessions. Third, the tool’s output is fully machine‑readable, enabling downstream tooling—like code generators or contract‑based testing frameworks—to consume the data without manual parsing.

Typical use cases include:

• Rapid API client scaffolding – an assistant can generate TypeScript interfaces and fetch functions directly from the current Apifox project, saving developers hours of boilerplate work.
• Contract‑first development – teams can enforce API specifications by having assistants validate code against the live contract before committing changes.
• Dynamic documentation – as APIs evolve, assistants can pull the latest definitions and update internal docs or README files automatically.

The server’s unique advantage lies in its tight coupling with Apifox, a platform already familiar to many teams for API design and testing. By providing a native MCP bridge, it turns Apifox’s rich metadata into actionable intelligence for AI assistants, thereby streamlining the entire API‑centric development lifecycle.