Tencent SDK Model Context Protocol (MCP) Server for Cursor IDE

This repository provides a CLI-based Model Context Protocol (MCP) server that exposes Tencent SDK documentation and Tencent API resources to LLM-powered tools. This improves the LLM AI Agent's ability to understand and interact with Tencent's SDKs and APIs.

Features

MCP server exposing tools for interacting with Tencent via JSON-RPC over STDIN/STDOUT.
Retrieve official Tencent SDK documentation (HTML → Markdown) for:
- Languages: JavaScript, Java, Swift, Objective-C, Kotlin.
- API reference sections: configuration, calls function.
Retrieve official Tencent TUICallKit SDK documentation (HTML → Markdown) for:
- TUICallKit SDK languages: JavaScript, Kotlin, Swift.
- TUICallKit SDK topics: configuration, calls function.
Retrieve official Tencent ChatUIKit documentation (HTML → Markdown) for:
- ChatUIKit SDK languages: JavaScript, Kotlin, Swift.
- ChatUIKit SDK topics: configuration, chat function.
Converts remote HTML articles to Markdown using jsdom and turndown for consistent documentation formatting.
Input validation via Zod schemas for all tool parameters, ensuring robust error handling.
Extensible tool definitions leveraging the Model Context Protocol SDK (@modelcontextprotocol/sdk) with McpServer and StdioServerTransport.

Prerequisites

Node.js (>= 18) and npm
Cursor IDE with MCP support

How To Use

To set up the @tencent-rtc/mcp MCP Server, follow these steps:

Step1: Installation.

npx -y @tencent-rtc/mcp

Step2: MCP Configuration.

In your Cursor project, create or open the .cursor/mcp.json or ~/.cursor/mcp.json files and add your config.

{
  "mcpServers": {
    "tencent-rtc": {
      "command": "npx",
      "args": ["-y", "@tencent-rtc/mcp"],
      "env": {
        "SDKAPPID": "YOUR_SDKAPPID",
        "SECRETKEY": "YOUR_SECRET_KEY"
      }
    }
  }
}

When you save the file, a notification is displayed. In the prompt, click Enable.

Step3: Check MCP Status

Navigate to Cursor Settings (the gear icon in top right corner) -> MCP, and check if tencentcloud-sdk-mcp server is enabled.

Step4: Use MCP

Ask the AI agent to build your Tencentcloud sdk app for you by describing the functionality yourself or by using a sample prompt.

[!NOTE] For complete details, please refer to the following AI Integration

[!WARNING] Depending on your IDE rules, you may also need to explicitly ask the AI agent to use the tencent-rtc mcp server.

Tencent RTC