Vinkius

Guance Cloud MCP. Monitor infrastructure health through conversation.

Guance Cloud / 观测云 gives your AI agent full access to complex system monitoring data. Stop clicking through dashboards and log tabs. This MCP lets you ask natural language questions about infrastructure, retrieving monitor statuses, reviewing real-time events, and running deep data queries (DQL) without touching the Guance console.

Guance Cloud MCP is compatible with Claude Claude
Guance Cloud MCP is compatible with ChatGPT ChatGPT
Guance Cloud MCP is compatible with Cursor Cursor
Guance Cloud MCP is compatible with Gemini Gemini
Guance Cloud MCP is compatible with Windsurf Windsurf
Guance Cloud MCP is compatible with VS Code VS Code
Guance Cloud MCP is compatible with JetBrains JetBrains
Guance Cloud MCP is compatible with Vercel Vercel
See Vinkius in Action

Give Claude and any AI agent real-world access

Check system health status

The agent retrieves the current metadata and alert status for your entire monitoring workspace.

List and check monitor details

You can ask the agent to list every configured system monitor and get its detailed setup information.

Browse historical events

The agent pulls a stream of real-time observability records, including errors, alerts, and system changes.

Run custom data queries

You tell the agent what metrics you need, and it executes powerful DQL statements to fetch specific logging or performance data.

Audit infrastructure keys and billing

The agent provides visibility into your organizational API access keys and current usage billing records.

Waiting for input…

AI Agent
Guance Cloud

What AI agents can do with Guance Cloud / 观测云: 10 Tools for Observability

Use these tools to check system health, list monitors, run DQL queries, and audit billing data through natural conversation.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Guance Cloud / 观测云 MCP

Get Billing

Retrieves your current cloud service usage and cost information.

Get Event

Fetches the detailed record for a specific observability event.

Get Monitor

Gets all configuration details for a single system monitor.

Get Workspace

Retrieves high-level metadata and status information about your monitoring workspace.

List Access Keys

Shows a list of all API access keys configured in the workspace for auditing...

List Dashboards

Returns a comprehensive list of every dashboard configured in the system.

List Events

Pulls a list of recent observability events, including alerts and errors.

List Log Sources

Provides an inventory of all available log data sources for analysis.

List Monitors

Lists every active and configured system monitor in the environment.

Query Data

Runs powerful Data Query Language (DQL) statements to fetch specific metrics or log...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Guance Cloud MCP is compatible with Claude

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Guance Cloud integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Guance Cloud / 观测云, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,200+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Connections are secured and governed automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog weekly
Guance Cloud MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Guance Cloud / 观测云. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

VINKIUS CLOUD

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on each call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

The Manual Chore of System Health Checks

Right now, checking if a system is healthy means opening the Guance console. You navigate to the dashboards tab, then you open the monitor list, check status codes one by one, and finally, you have to manually build a query using DQL just to get average CPU usage for a specific time window. It’s clicking through five different tabs just to answer two simple questions.

With this MCP connected via Vinkius, those clicks disappear. You simply talk to your agent: 'Check the status of the high-CPU monitor and give me the 15-minute average.' The agent executes `get_monitor` and `query_data` in the background and spits out a clean answer instantly.

Guance Cloud / 观测云 MCP: Instant Observability Insights

You no longer have to copy-paste an API key into a script or manually reconcile dashboard configurations across different teams. You can ask the agent for `list_access_keys` and instantly get a full, auditable list of every credential in one chat prompt.

Your AI client acts as a dedicated SRE co-pilot, handling all the complex data orchestration—from listing events to running deep DQL queries—so you stay focused on solving the problem, not clicking through the interface.

What Guance Cloud MCP does for your AI

Guance Cloud connects your AI agent directly to an entire observability stack. Forget logging into a dashboard just to check if a service is down or what caused the spike last night. This MCP lets you manage complex system monitoring, log analysis, and incident response simply by talking to your agent.

You can ask it to list all monitors, pull detailed configuration reports on dashboards, or browse specific system events in real time. If you need deep metrics, you don't build a query; you just tell the agent what average CPU usage you want over the last hour. Your agent acts like an always-on site reliability assistant, keeping your infrastructure data accurate and giving you instant answers whether you’re troubleshooting or auditing resource usage.

Connecting Guance Cloud to Vinkius means you get this power alongside thousands of other industry tools through one place.

Built · Hosted · Managed by Vinkius Guance Cloud - Monitor System Health with AI
Server ID 019d8444-c688-70d0-84d6-0cc533614025
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Frequently asked questions about Guance Cloud MCP

How do I list monitors using Guance Cloud / 观测云 MCP? +

You ask your agent to execute list_monitors. The agent will return a full catalog of every monitor configured in the workspace, letting you know exactly what is being watched.

Can I run custom metrics queries with Guance Cloud / 观测云 MCP? +

Yes. You use the query_data tool. Just tell your agent which metric and time window you want, and it runs the necessary DQL statement for you.

What is the difference between list_events and get_event? +

list_events gives you a feed of recent occurrences (errors, alerts). get_event allows you to deep-dive into one specific event ID to see all its associated details.

Do I need to manually find the API key for Guance Cloud / 观测云 MCP? +

The agent can help. You use list_access_keys to get a list of existing keys and confirm which credentials are available for your workspace.

How do I check billing usage with Guance Cloud / 观测云 MCP? +

You ask the agent about billing, and it executes get_billing. You get an immediate breakdown of your current service consumption and costs.