Tingyun / 听云 MCP Server
Leading APM and observability platform — manage applications, alerts, and performance metrics via AI.
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What is the Tingyun / 听云 MCP Server?
The Tingyun / 听云 MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Tingyun / 听云 via 10 tools. Leading APM and observability platform — manage applications, alerts, and performance metrics via AI. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Tingyun / 听云
Ask your AI agent "List all applications monitored by Tingyun." and get the answer without opening a single dashboard. With 10 tools connected to real Tingyun / 听云 data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Tingyun / 听云 MCP Server capabilities
10 toolsGet account metadata
Get application summary
Query metric data
List alert policies
List active alerts
List application instances
List APM applications
List RUM browser applications
List monitored databases
List external service calls
What the Tingyun / 听云 MCP Server unlocks
Empower your AI agent to orchestrate your entire digital performance stack with Tingyun (听云), the premier APM and observability platform. By connecting Tingyun to your agent, you transform complex application monitoring, incident response, and performance auditing into a natural conversation. Your agent can instantly list monitored applications, retrieve real-time performance summaries, browse active alerts, and query specific metric data without you ever needing to navigate the Tingyun console. Whether you are troubleshooting a production bottleneck or auditing system health across a distributed architecture, your agent acts as a real-time site reliability assistant, keeping your performance data accurate and your systems responsive.
What you can do
- Application Orchestration — List all APM applications and retrieve detailed health and performance summaries.
- Incident Control — Monitor active alerts and browse alert policies to identify and respond to performance issues.
- Infrastructure Auditing — List application instances, external service calls, and database dependencies.
- Metric Querying — Retrieve specific metric data points for applications to analyze trends and anomalies.
- User Experience Insights — Browse Real User Monitoring (RUM) browser applications to audit frontend performance.
How it works
1. Subscribe to this server
2. Enter your Tingyun API Key and Secret Key
3. Start managing your observability stack through Claude, Cursor, or any MCP-compatible client
Who is this for?
- DevOps & SRE Teams — automate incident response and monitor application health through natural language queries.
- Engineering Managers — coordinate performance reviews and audit system dependencies directly from your AI-powered workspace.
- Technical Analysts — retrieve system metrics and perform bottleneck analysis via a unified AI interface.
- Tingyun Power Users — integrate your existing observability workflows into your AI-driven daily routines.
Frequently asked questions about the Tingyun / 听云 MCP Server
How do I find my Tingyun API Key and Secret?
Log in to your Tingyun console, go to [Account Management] → [API], and you will find your unique API Key and Secret Key there. Ensure you have the necessary permissions enabled.
Can I query specific metric data through this server?
Yes. Use the get_metrics tool with the application ID and a comma-separated list of metric names. Your agent will retrieve the data points for the specified metrics.
Is it possible to monitor frontend performance?
Yes! Use the list_browser_apps tool to access performance data from Tingyun RUM (Real User Monitoring) for your web and browser applications.
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Connect Tingyun / 听云 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
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Python framework for orchestrating collaborative AI agent crews.
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Give your AI agents the power of Tingyun / 听云 MCP Server
Production-grade Tingyun / 听云 MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.