Tencent

This improves the LLM AI Agent's ability to understand and interact with Tencent RTC SDKs and APIs.

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5

GitHub Stars

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Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

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

You run a lightweight MCP server that exposes Tencent SDK and API resources to Cursor IDE-powered tools. It bridges official Tencent documentation to your development environment, enabling you to access and interact with Tencent SDKs through a consistent, JSON-RPC like workflow inside Cursor.

How to use

Use the MCP server by configuring Cursor to communicate with the stdio-based server process. After enabling the server in Cursor, describe the functionality you want to build or test, and the AI agent will leverage Tencent SDK documentation and API resources to generate code, configurations, or integration steps. You do not need to write protocol details yourself; simply request the Tencent SDK behaviors and Cursor will route the requests through the MCP server.

If you want to change the active server or its credentials, update the MCP configuration file in your Cursor project, then reload the MCP settings so the AI agent can access the latest SDK keys and resources.

How to install

Prerequisites: Node.js (version 18 or newer) and npm. Ensure you have Cursor IDE installed with MCP support.

Step 1: Install the MCP package globally for the Tencent integration.

npx -y @tencent-rtc/mcp

Step 2: Create or open your Cursor MCP configuration file and add the tencent MCP server entry with the runtime command and environment values.

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

Additional sections

Step 3: Check MCP status in Cursor. Open Cursor Settings, navigate to MCP, and verify that the tencent_rtc_mcp server is enabled.

Step 4: Use MCP. Instruct the AI agent to build or configure Tencent SDK integrations by describing the desired functionality or by starting from a provided sample prompt. The MCP server will expose Tencent SDK docs and resources to the agent through the configured channel.

Note: Depending on your IDE rules, you may need to explicitly select the tencent_rtc_mcp server for the AI agent to use during your session.