Yunxin
yunxin-mcp-server
What is Yunxin?
Yunxin is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to yunxin-mcp-server
yunxin-mcp-server
This server falls under the Communication category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- yunxin-mcp-server
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx yunxinConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Yunxin
The Yunxin MCP Server connects AI assistants to NetEase Yunxin's cloud communication platform, providing 17 tools for instant messaging and real-time communication analytics. The tools cover sending peer-to-peer and team messages, querying IM message history, retrieving application-level IM daily statistics, monitoring online connection counts, checking API and SDK usage stats, and inspecting RTC room membership and quality metrics including stuck rates and quality distribution. It requires an AppKey and AppSecret from your Yunxin account and runs via uvx with no separate install step.
Prerequisites
- Python 3.8+ with uv and uvx installed
- A NetEase Yunxin account with an application created
- AppKey and AppSecret from your Yunxin application console
- Claude Desktop, Cursor, or another MCP-compatible AI client
- Network access to the Yunxin API endpoints
Install uv and verify uvx is available
The server is run via uvx, which is included with the uv package manager. Install uv if it is not already available.
pip install uv
uvx --versionObtain your Yunxin AppKey and AppSecret
Log into the Yunxin developer console, create or select your application, and copy the AppKey and AppSecret from the application settings page.
Test the server manually
Run the server directly from the command line to verify credentials are accepted before adding it to your AI client.
AppKey=your_appkey AppSecret=your_secret uvx yunxin_mcp_serverAdd the server to your MCP client configuration
Edit your claude_desktop_config.json to add the Yunxin server entry with credentials passed as environment variables.
{
"mcpServers": {
"yunxin_mcp": {
"name": "yunxin-mcp-server",
"type": "stdio",
"command": "uvx",
"args": ["yunxin_mcp_server"],
"env": {
"AppKey": "your_yunxin_appkey",
"AppSecret": "your_yunxin_appsecret"
}
}
}
}Restart your client and verify the tools load
Restart Claude Desktop or your MCP client. Ask it to query recent IM statistics or check RTC room status to confirm the Yunxin tools are active.
Yunxin Examples
Client configuration
Claude Desktop configuration for the Yunxin MCP server using uvx with AppKey and AppSecret credentials.
{
"mcpServers": {
"yunxin_mcp": {
"name": "yunxin-mcp-server",
"type": "stdio",
"command": "uvx",
"args": ["yunxin_mcp_server"],
"env": {
"AppKey": "your_yunxin_appkey",
"AppSecret": "your_yunxin_appsecret"
}
}
}
}Prompts to try
Use natural language to send messages, query IM history, and monitor RTC room quality.
- "Send a peer-to-peer message to user ID 12345 saying 'Meeting starts in 10 minutes'"
- "Query the IM message history for team 67890 from the last 24 hours"
- "Show me the daily IM statistics for our application for the past 7 days"
- "How many users are currently online and connected to the IM service?"
- "Check the RTC room quality distribution and show stuck rates for the top 20 rooms"Troubleshooting Yunxin
Authentication failure or invalid credentials error
Verify that AppKey and AppSecret are copied exactly from the Yunxin developer console with no extra spaces. These are case-sensitive. Also confirm the application is in an active state in the console — suspended applications will reject API calls.
uvx command not found after installing uv
Run 'pip install uv' or follow the uv installation guide at https://github.com/astral-sh/uv. After installation, ensure the uv bin directory is in your PATH. On macOS and Linux this is typically ~/.local/bin.
RTC tools return empty data
RTC monitoring tools require active RTC room sessions in your application. If no rooms are active, query results will be empty. Confirm your application has the RTC product enabled in the Yunxin console, as it is a separate subscription from IM.
Frequently Asked Questions about Yunxin
What is Yunxin?
Yunxin is a Model Context Protocol (MCP) server that yunxin-mcp-server It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Yunxin?
Follow the installation instructions on the Yunxin GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Yunxin?
Yunxin works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Yunxin free to use?
Yes, Yunxin is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Yunxin Alternatives — Similar Communication Servers
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Browse More Communication MCP Servers
Explore all communication servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Yunxin in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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