Windsurf MCP Integration

The Windsurf MCP server is a lightweight, FastAPI‑based extension that equips the Windsurf agentic IDE with a richer set of tooling capabilities. By exposing a WebSocket endpoint and RESTful API, it allows AI assistants to invoke custom actions directly within the IDE’s workflow. This solves a common pain point for developers who need programmatic access to file operations, code analysis, or external API calls without leaving the IDE environment.

At its core, the server implements a modular tool system. Developers can add new commands by simply decorating functions in with . Each tool declares a name, description, and parameter schema that the MCP protocol uses to generate prompts and validate input. The built‑in tools cover everyday tasks: searching for files with glob patterns, performing static code analysis to surface complexity or dependency issues, and making arbitrary HTTP requests. These primitives enable AI assistants to automate repetitive tasks—such as locating a configuration file, summarizing code metrics, or querying an external service—all within the same session.

Real‑time communication is facilitated through a WebSocket endpoint (). When an AI assistant sends a tool invocation, the server processes it asynchronously and streams back results or status updates. This bidirectional flow keeps the IDE responsive while long‑running analyses continue in the background. The accompanying REST endpoints (, ) provide a fallback for clients that prefer HTTP, making the server versatile across different integration patterns.

Developers benefit from seamless IDE integration: once the MCP server is running, Windsurf can be configured to connect via a simple WebSocket URL (). The IDE’s UI can then expose these tools as actions or menu items, allowing users to trigger AI‑driven workflows without manual scripting. For example, a developer could ask an assistant to “find all TODO comments in the project” and receive a quick list, or request a “code quality report” that highlights potential refactoring spots.

Unique advantages of this MCP server include its minimal footprint, thanks to FastAPI’s performance, and the ease of extending functionality through decorators. Because tools are defined declaratively, new capabilities can be added in minutes without touching the core server code. This makes it an ideal companion for teams that rely on AI assistants to streamline development pipelines, automate code reviews, or integrate external data sources directly into the coding environment.