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.

Tingyun / 听云 MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Tingyun / 听云
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Tingyun / 听云 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Tingyun / 听云 Assistant",
            instructions=(
                "You help users interact with Tingyun / 听云. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Tingyun / 听云"
        )
        print(result.final_output)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Tingyun / 听云 MCP Server

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.

The OpenAI Agents SDK auto-discovers all 10 tools from Tingyun / 听云 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Tingyun / 听云, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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.

The Tingyun / 听云 MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Tingyun / 听云 to OpenAI Agents SDK via MCP

Follow these steps to integrate the Tingyun / 听云 MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Tingyun / 听云

Why Use OpenAI Agents SDK with the Tingyun / 听云 MCP Server

OpenAI Agents SDK provides unique advantages when paired with Tingyun / 听云 through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Tingyun / 听云 + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Tingyun / 听云 MCP Server delivers measurable value.

Automated workflows: build agents that query Tingyun / 听云, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Tingyun / 听云, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Tingyun / 听云 tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Tingyun / 听云 to resolve tickets, look up records, and update statuses without human intervention

Tingyun / 听云 MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Tingyun / 听云 to OpenAI Agents SDK via MCP:

get_account_info

Get account metadata

get_app_summary

Get application summary

get_metrics

Query metric data

list_alert_policies

List alert policies

list_alerts

List active alerts

list_app_instances

List application instances

list_applications

List APM applications

list_browser_apps

List RUM browser applications

list_databases

List monitored databases

list_external_services

List external service calls

Example Prompts for Tingyun / 听云 in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Tingyun / 听云 immediately.

"List all applications monitored by Tingyun."

"Show me the performance summary for application ID 12345."

"Check for any critical alerts in Tingyun from today."

Troubleshooting Tingyun / 听云 MCP Server with OpenAI Agents SDK

Common issues when connecting Tingyun / 听云 to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Tingyun / 听云 + OpenAI Agents SDK FAQ

Common questions about integrating Tingyun / 听云 MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.