tcsas-devtools-mcp-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@tcsas-devtools-mcp-serverPreview the miniprogram at /Users/me/projects/my-miniprogram"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
TCSAS-Devtools MCP Server
An MCP (Model Context Protocol) server designed to connect AI assistants with TCSAS-Devtools for a seamless miniprogram development experience.
This server wraps the basic functionalities of TCSAS-Devtools into a set of tools that can be called by AI assistants (like CodeBuddy, Cursor, Claude), allowing you to open, build, preview, and upload miniprograms using natural language.
✨ Features
Launch IDE: Directly open the
TCSAS-Devtoolsapplication or a specific miniprogram project.Check Installation: Verify if
TCSAS-Devtoolsis installed on the local machine.Preview Miniprogram: Generate a QR code for previewing the miniprogram on a mobile device.
Upload Miniprogram: Upload a new version of the miniprogram with specified version information.
🚀 Prerequisites
Before you begin, ensure you have the following software installed:
Node.js (v20 or higher recommended)
📦 Installation and Setup
For first-time use, please download the installation package for TCSAS-Devtools from the console in advance, the version should >= 2.2.15.
After installation, please open it to complete the login process and enable the service port.
Settings - Security - Enable

Ensure the above steps are completed. Then you can configure the MCP server in your Code Agent and start using it.
🤖 How to Use in Cursor
You can integrate this server with any AI assistant that supports custom MCP servers. Here are the steps to configure it in Cursor:
Open Cursor Settings: In Cursor, find the settings for AI integration. This is usually located in
Settings>Tools & MCPor a similar configuration area for managing AI providers.Add Custom MCP Service: Look for an option like "Add Model Context Provider" or "MCP Server" and click "Add".
Enter Command: For example:
{ "tcsas-devtools-mcp-server": { "command": "npx", "args": [ "-y", "tcsas-devtools-mcp-server@latest" ] } }Illustration: (A screenshot of the Cursor settings panel could be like this, showing the user entering the command in the mcp.json)

Connect and Start Using: After adding, Cursor will connect to your local server. Now you can interact with it in the chat. For example, you can type:
"Launch TCSAS-Devtools and open my project at
/Users/me/projects/my-miniprogram.""Generate a preview QR code for the project I'm currently developing."
🛠️ Tool API Reference
Below is a detailed description of all the tools provided by this MCP server:
launchIde
Launches the TCSAS-Devtools IDE.
Input Parameters:
path(optional, string): The absolute path to the miniprogram project to open.
checkIdeInstalled
Checks if the TCSAS-Devtools IDE is installed.
Input Parameters: None
previewMiniprogram
Generates a preview QR code for a miniprogram project.
Input Parameters:
path(string): The absolute path to the miniprogram project.
uploadMiniprogram
Uploads a new version of the miniprogram.
Input Parameters:
path(string): The absolute path to the project.version(string): The new version number (e.g., "1.0.1").describeMessage(string): A short description of the changes.
Contributions are welcome! Please feel free to submit a Pull Request.
📜 License
This project is open-sourced under the MIT License.
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