Tencent RTC MCP Server▌

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.