Overview

The ApiFox MCP Server is a lightweight, TypeScript‑based service that exposes ApiFox’s rich API catalog to AI assistants via the Model Context Protocol (MCP). By connecting a cursor or any MCP‑compatible client to this server, developers can retrieve structured information about their ApiFox projects—such as endpoint definitions, request/response schemas, and authentication details—and feed it directly into the model’s context. This eliminates manual lookup of API docs, allowing AI assistants to reason about and invoke real endpoints in a single conversational flow.

At its core, the server implements two interaction patterns. First, it offers an HTTP endpoint that streams MCP messages over Server‑Sent Events (SSE). Second, it can be launched as a command‑line tool that automatically starts the SSE server and registers itself with a cursor configuration file. Both modes rely on environment variables (, ) to authenticate against the ApiFox API, ensuring that only authorized projects are exposed. The use of TypeScript guarantees type safety throughout the codebase, while Zod validates incoming requests to protect against malformed data.

Key capabilities include:

• Dynamic API discovery – fetch the full list of endpoints, parameters, and response models for a given ApiFox project on demand.
• Schema‑aware context injection – provide the model with precise JSON schemas, enabling it to generate correct request payloads and parse responses reliably.
• Real‑time updates – any changes in the ApiFox project (new endpoints, updated schemas) are reflected immediately through the SSE stream.
• Configurable deployment – run as a standalone HTTP server, embed in CI pipelines, or launch from a local development environment with minimal setup.

Typical use cases span automated testing, rapid prototyping, and intelligent code generation. For example, a developer can ask an AI assistant to “create a function that retrieves all users from the endpoint.” The assistant pulls the endpoint definition from the MCP server, constructs a typed request, and returns executable code or a ready‑to‑use API client snippet. In continuous integration workflows, the MCP server can supply up‑to‑date API contracts to generate contract tests or mock servers without manual intervention.

What sets this MCP server apart is its tight coupling with ApiFox, a popular API design and documentation platform. By bridging MCP and ApiFox, it brings the benefits of AI‑driven development—contextual understanding, code generation, and automated reasoning—to teams already invested in ApiFox’s ecosystem. The result is a seamless developer experience where AI assistants act as intelligent API explorers, reducing friction and accelerating delivery.