Guance Cloud / 观测云 MCP Server
Modern observability platform — manage monitors, dashboards, and events via AI.
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What is the Guance Cloud / 观测云 MCP Server?
The Guance Cloud / 观测云 MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Guance Cloud / 观测云 via 10 tools. Modern observability platform — manage monitors, dashboards, and events 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 Guance Cloud / 观测云
Ask your AI agent "List all active monitors in Guance Cloud." and get the answer without opening a single dashboard. With 10 tools connected to real Guance Cloud / 观测云 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
Guance Cloud / 观测云 MCP Server capabilities
10 toolsGet billing usage
Get event details
Get monitor details
Get workspace information
List workspace access keys
List all dashboards
) from the workspace. List observability events
List log data sources
List all monitors
Query Guance data (DQL)
What the Guance Cloud / 观测云 MCP Server unlocks
Empower your AI agent to orchestrate your entire observability stack with Guance Cloud (观测云), the leading next-generation monitoring platform. By connecting Guance Cloud to your agent, you transform complex system monitoring, log analysis, and incident response into a natural conversation. Your agent can instantly list your monitors, retrieve detailed dashboard configurations, browse system events, and even execute Data Query Language (DQL) statements without you ever needing to navigate the Guance console. Whether you are troubleshooting a production outage or auditing resource usage, your agent acts as a real-time site reliability assistant, keeping your infrastructure data accurate and your systems healthy.
What you can do
- Workspace Orchestration — Retrieve detailed metadata and status information for your Guance Cloud workspace.
- Monitoring Control — List and retrieve detailed configurations for all system monitors and alert rules.
- Event Auditing — Browse real-time observability events, including alerts, errors, and system changes.
- Data Querying — Execute powerful DQL statements to retrieve specific metrics and logging data via natural language.
- Operations Insights — Monitor billing usage and manage API access keys for your organizational infrastructure.
How it works
1. Subscribe to this server
2. Enter your Guance Cloud API Key (DF-API-KEY)
3. Start managing your observability stack through Claude, Cursor, or any MCP-compatible client
Who is this for?
- SRE & DevOps Engineers — automate incident response and monitor system health through natural language queries.
- Infrastructure Leads — coordinate monitoring strategies and audit dashboard configurations directly from your AI-powered workspace.
- Technical Analysts — retrieve system metrics and perform log analysis via a unified AI interface.
- Guance Cloud Users — integrate your existing observability workflows into your AI-driven daily routines.
Frequently asked questions about the Guance Cloud / 观测云 MCP Server
How do I find my Guance Cloud API Key?
Log in to your Guance Cloud workspace, navigate to [Management] → [API Key Management], and generate a new key. Use the provided value as your DF-API-KEY.
What is DQL?
Data Query Language (DQL) is the query syntax used by Guance Cloud to retrieve metrics, logs, and other observability data. You can use the query_data tool to execute these statements.
Can I check my data usage via the agent?
Yes. Use the get_billing tool to retrieve current data usage and billing statistics for your workspace, helping you manage costs and resource allocation.
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Connect Guance Cloud / 观测云 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.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
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Give your AI agents the power of Guance Cloud / 观测云 MCP Server
Production-grade Guance Cloud / 观测云 MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.