Tencent RTC MCP

by Tencent-RTC

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About

It exposes Tencent RTC SDK documentation and Tencent RTC API resources to LLM-based tools. This improves the ability of LLM AI Agent to understand and interact with the Tencent RT SDK and API.

Explore

- MCP Server: Provides tools for interacting with Tencent Cloud via the JSON-RPC protocol over STDIN/STDOUT.
- Languages: JavaScript, Java, Swift, Objective-C, Kotlin.
- API Reference Section: Configuration, function invocation. Access code examples, usage patterns, and detailed explanations of Tencent Cloud SDK features.
- Tencent Cloud TUICallKit SDK Documentation Retrieval: Retrieve official Tencent Cloud TUICallKit SDK documentation (converted from HTML to Markdown format), covering the following:

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Tencent RTC MCP
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

- Node.js (version >= 18) and npm (https://nodejs.org/)
- Cursor IDE with MCP support

To use the MCP server, Cursor must be in AGENT MODE. The Cursor IDE discovers MCP servers through a JSON configuration file. You can configure the Tencent Cloud MCP server globally or per project.

Edit or create the file ~/.cursor/mcp.json:

{
  "mcpServers": {
    "tencent-rtc": {
      "command": "npx",
      "args": ["-y", "@tencent-rtc/mcp"],
    }
  }
}

In the project directory, create .cursor/mcp.json:

{
  "mcpServers": {
    "tencent-rtc": {
      "command": "npx",
      "args": ["-y", "@tencent-rtc/mcp"],
    }
  }
}

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "tencent rtc mcp": {
            "tencent-rtc": {
                "command": "npx",
                "args": [
                    "-y",
                    "@tencent-rtc/mcp"
                ]
            }
        }
    }
}

McpServers

{
    "tencent-rtc": {
        "command": "npx",
        "args": [
            "-y",
            "@tencent-rtc/mcp"
        ]
    }
}

This repository provides a Model Context Protocol (MCP) server based on the Command Line Interface (CLI). It delivers Tencent Cloud SDK documentation and API resources to Large Language Model (LLM) based tools. This enhances the ability of LLM AI agents to understand and interact with Tencent Cloud SDKs and APIs, facilitating seamless integration of Tencent Cloud services into applications.

Features

- MCP Server: Provides tools for interacting with Tencent Cloud via the JSON-RPC protocol over STDIN/STDOUT.
- Languages: JavaScript, Java, Swift, Objective-C, Kotlin.
- API Reference Section: Configuration, function invocation. Access code examples, usage patterns, and detailed explanations of Tencent Cloud SDK features.
- Tencent Cloud TUICallKit SDK Documentation Retrieval: Retrieve official Tencent Cloud TUICallKit SDK documentation (converted from HTML to Markdown format), covering the following:

Example Prompts

- "Develop an Android application that supports audio and video calls using TUICallKit."
- "Implement audio and video call functionality in our project by integrating TUICallKit."
- "Retrieve the API usage documentation for React TUICallKit."

Prerequisites

- Node.js (version >= 18) and npm (https://nodejs.org/)
- Cursor IDE with MCP support

Installation

To run the Tencent Cloud MCP server locally or add it to Cursor IDE via npx:

npx -y @tencent-rtc/mcp

Cursor Configuration

To use the MCP server, Cursor must be in AGENT MODE. The Cursor IDE discovers MCP servers through a JSON configuration file. You can configure the Tencent Cloud MCP server globally or per project.

Global Configuration

Edit or create the file ~/.cursor/mcp.json:

{
  "mcpServers": {
    "tencent-rtc": {
      "command": "npx",
      "args": ["-y", "@tencent-rtc/mcp"],
    }
  }
}

Project Configuration

In the project directory, create .cursor/mcp.json:

{
  "mcpServers": {
    "tencent-rtc": {
      "command": "npx",
      "args": ["-y", "@tencent-rtc/mcp"],
    }
  }
}
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