Tingyun / 听云 Connector for AI agents.
10 live capabilities
Monitor application performance and manage real-time alerts
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Why people use Tingyun / 听云
Solve APM Dashboard Fatigue with Tingyun Observability
With this Connector, you just ask your agent what's wrong. It pulls the data for you, summarizes the health of your apps, and highlights the active alerts. You get the answers you need in seconds instead of minutes.
What Vinkius changes
You get a conversational interface for your entire APM and observability stack.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Emergency Triage
An SRE asks the agent to find all critical alerts and then uses get_app_summary to see which service is failing.
- Real-world use case 02
Dependency Mapping
A dev wants to know what databases a service hits and asks the agent to list them using list_databases.
- Real-world use case 03
Capacity Planning
A manager asks the agent to pull metric data using get_metrics to see if they need to scale their infrastructure.
Complete set · 10capabilities
The complete Tingyun / 听云 capability set.
These are the exact actions your AI can choose when you ask it to work with Tingyun / 听云.
01—04
4 capabilities in this set.
Part of 10 available through Tingyun / 听云.
- 01 Capability
List alert policies
List alert policies. Use this to review your active monitoring rules.
- 02 Capability
List app instances
List application instances. This helps you see every running instance of your apps.
- 03 Capability
List applications
List APM applications. Use this to see every application currently being monitored.
- 04 Capability
List browser apps
List RUM browser applications. This lets you audit frontend performance for users.
05—07
3 capabilities in this set.
Part of 10 available through Tingyun / 听云.
- 05 Capability
List databases
List monitored databases. Use this to identify your database dependencies.
- 06 Capability
List external services
List external service calls. This shows which outside APIs your apps are calling.
- 07 Capability
Get account info
Get your account metadata. This helps the agent understand your account context.
08—10
3 capabilities in this set.
Part of 10 available through Tingyun / 听云.
- 08 Capability
Get app summary
Get an application summary. Use this to quickly see the health of a specific app.
- 09 Capability
Get metrics
Query metric data. This lets you pull specific data points for trend analysis.
- 10 Capability
List alerts
List active alerts. Use this to see all current issues firing in your system.
Set up in minutes
One URL. Then ask Tingyun / 听云 to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Tingyun / 听云 from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_LYTPskntXjT3hDeJtLttKdaHELmt1TtQotKDAVf3/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Tingyun / 听云, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Tingyun / 听云 for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_LYTPskntXjT3hDeJtLttKdaHELmt1TtQotKDAVf3/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Tingyun / 听云 URL.
- Step 03
Save and start
Save the connection and enable Tingyun / 听云 in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"tingyun": {
"url": "https://edge.vinkius.com/vk_preview_LYTPskntXjT3hDeJtLttKdaHELmt1TtQotKDAVf3/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Tingyun / 听云
Open Agent mode in chat and ask: "Using Tingyun / 听云, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"tingyun": {
"url": "https://edge.vinkius.com/vk_preview_LYTPskntXjT3hDeJtLttKdaHELmt1TtQotKDAVf3/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Tingyun / 听云
Ask Copilot: "Using Tingyun / 听云, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"tingyun": {
"url": "https://edge.vinkius.com/vk_preview_LYTPskntXjT3hDeJtLttKdaHELmt1TtQotKDAVf3/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Tingyun / 听云
Open Cascade and ask: "Using Tingyun / 听云, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"tingyun": {
"url": "https://edge.vinkius.com/vk_preview_LYTPskntXjT3hDeJtLttKdaHELmt1TtQotKDAVf3/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Tingyun / 听云
Ask Cline: "Using Tingyun / 听云, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add tingyun --transport http "https://edge.vinkius.com/vk_preview_LYTPskntXjT3hDeJtLttKdaHELmt1TtQotKDAVf3/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Tingyun / 听云
Ask Claude: "Using Tingyun / 听云, show me...". 10 tools are ready
Where the request belongs
Work Tingyun / 听云 can move forward.
For the SRE who's tired of clicking through nested dashboards at 3 AM, or the engineering manager who needs to audit system health without bothering the dev team.
SRE
Handles high-pressure incidents by asking the agent to find the root cause of latency.
Engineering Manager
Audits dependencies and performance trends during sprint planning.
Technical Analyst
Pulls specific metric data points to build reports on system reliability.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Datadog
Monitor infrastructure, applications, and logs with unified observability that gives you full-stack visibility in real time.
Bring your own AI
Change the model, client or framework. Keep Tingyun / 听云 connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Tingyun / 听云.
The practical details behind the request, access and result.
Can Tingyun help me find the root cause of a production crash?
Yes, it can. Your agent can pull health summaries and active alerts instantly to help you identify which service is failing and why.
How does the Tingyun MCP work with my AI agent?
It connects your Tingyun account to your AI client. This allows your agent to read your metrics, alerts, and application data directly.
Can I use Tingyun to see how my website is performing for real users?
Yes, it includes Real User Monitoring (RUM) capabilities so your agent can audit frontend performance and browser application data.
Does Tingyun support checking my database connections?
Yes, the Connector can list your monitored databases and external service calls to help you map out your infrastructure dependencies.
Can I see my alert history using Tingyun?
You can use the Connector to list your active alert policies and current alerts to manage your monitoring rules and incident response.
Is Tingyun good for monitoring my external API calls?
Yes, it specifically allows your agent to list and monitor calls to external services, helping you spot bottlenecks outside your own stack.
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 capability 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 capability to access performance data from Tingyun RUM (Real User Monitoring) for your web and browser applications.
One connection away
Give your agent a direct line to Tingyun / 听云.
Connect Tingyun / 听云 once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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