Integrate Tingyun / 听云 with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet account info on Tingyun / 听云
Get account metadata
Get app summary on Tingyun / 听云
Get application summary
Get metrics on Tingyun / 听云
Query metric data
List alert policies on Tingyun / 听云
List alert policies
List alerts on Tingyun / 听云
List active alerts
List app instances on Tingyun / 听云
List application instances
List applications on Tingyun / 听云
List APM applications
List browser apps on Tingyun / 听云
List RUM browser applications
List databases on Tingyun / 听云
List monitored databases
List external services on Tingyun / 听云
List external service calls
Security & Code Integrity Audit
Every tool in the Tingyun / 听云 MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
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.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Supported Use Cases for Tingyun / 听云
Build automated workflows with Cursor and Claude Code by connecting to the Tingyun / 听云 MCP server.
LLM Orchestration for apm
The Tingyun / 听云 toolkit translates Claude's commands into apm operations. The MCP server ensures accurate delivery within the developer tools ecosystem.
Prompting performance metrics Workflows
The Tingyun / 听云 MCP integration translates natural language prompts into structured performance metrics queries. This allows agents to fetch and update developer tools records securely.
Tingyun / 听云. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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