About TCSAS
TCSAS is an MCP server published by TCMPP-Team in the Developer Tools category: built on the Tencent Mini Program technical framework and fully following the development, powered by [Tencent Cloud Super App as a Service](https://www.tencentcloud.com/products/tcsas?lang=en&pg=).
Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/TCMPP-Team/tcsas-devtools-mcp-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about TCSAS
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README
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)
- npm
- TCSAS-Devtools
📦 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.
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.