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Windsurf MCP Server
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Windsurf MCP Server

An MCP server implementation for the Windsurf IDE project, based on Python, supporting memory plugin integration and configurable transmission and logging.
Developer toolsKnowledge management and memory#Python service#IDE plugin#Configurable#Memory integration.Python
2 points
10.7K
Open Site

Overview

Content Details

Alternatives

What is the Windsurf MCP Server?

The Windsurf MCP Server is a communication protocol server specifically designed for the Windsurf IDE. It allows the IDE to interact with various models and plugins in a standardized manner. As middleware, it simplifies the integration process of complex AI models.

How to use the Windsurf MCP Server?

The service can be started via a simple installation script, and server parameters can be customized in the configuration file. After the service is running, it will automatically handle the communication protocol conversion between the IDE and the models.

Applicable scenarios

It is most suitable for scenarios where multiple AI models need to be integrated into the development environment, especially when unified management of the input and output formats of different models is required.

Main features

Python service foundation
Built on Python 3.8+, providing flexible extensibility
Memory plugin integration
Built-in support for @memoryplugin to achieve efficient memory management
Configurable transmission
Supports customizing transmission protocols and log settings through a JSON configuration file
Advantages
Standardized protocols simplify model integration
Lightweight Python implementation is easy to deploy
Flexible configurable options meet different needs
Limitations
Currently only supports calls in the Node.js environment
The memory plugin requires additional learning costs
Configuration changes require restarting the service

How to use

Environment preparation
Ensure that Python 3.8+ and the Node.js runtime environment are installed on the system
Get the code
Clone the repository to the local development environment
Install dependencies
Install the necessary Node.js dependency packages
Configure the service
Edit the mcp_config.json file to set server parameters
Start the service
Run the startup script to start the MCP service

Usage examples

Integrate a custom model
Connect a trained AI model to the Windsurf IDE via the MCP protocol
Debug plugin interaction
Use the memory plugin to monitor the communication process between the model and the IDE

Frequently Asked Questions

What could be the reasons for the service startup failure?
How to modify the service port?
Does it support the Windows system?

Related resources

GitHub repository
Project source code and the latest version
MCP protocol documentation
Official description of the Model Context Protocol
Windsurf IDE
Homepage of the supporting IDE project

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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