Guance Cloud / 观测云 MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Guance Cloud / 观测云 through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Guance Cloud / 观测云 and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"guance-cloud": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 Guance Cloud / 观测云 MCP Server
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.
Windsurf's Cascade agent chains multiple Guance Cloud / 观测云 tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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.
The Guance Cloud / 观测云 MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf 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 Guance Cloud / 观测云 to Windsurf via MCP
Follow these steps to integrate the Guance Cloud / 观测云 MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Guance Cloud / 观测云
Open Cascade and ask: "Using Guance Cloud / 观测云, help me...". 10 tools available
Why Use Windsurf with the Guance Cloud / 观测云 MCP Server
Windsurf provides unique advantages when paired with Guance Cloud / 观测云 through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Guance Cloud / 观测云 + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Guance Cloud / 观测云 MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Guance Cloud / 观测云 and generate models, types, or handlers based on real API responses
Live debugging: query Guance Cloud / 观测云 tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Guance Cloud / 观测云 and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Guance Cloud / 观测云 data with Cascade's code generation to scaffold entire features in minutes
Guance Cloud / 观测云 MCP Tools for Windsurf (10)
These 10 tools become available when you connect Guance Cloud / 观测云 to Windsurf via MCP:
get_billing
Get billing usage
get_event
Get event details
get_monitor
Get monitor details
get_workspace
Get workspace information
list_access_keys
List workspace access keys
list_dashboards
List all dashboards
list_events
) from the workspace. List observability events
list_log_sources
List log data sources
list_monitors
List all monitors
query_data
Query Guance data (DQL)
Example Prompts for Guance Cloud / 观测云 in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Guance Cloud / 观测云 immediately.
"List all active monitors in Guance Cloud."
"Show me recent events from the last hour."
"Query average CPU usage using DQL."
Troubleshooting Guance Cloud / 观测云 MCP Server with Windsurf
Common issues when connecting Guance Cloud / 观测云 to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Guance Cloud / 观测云 + Windsurf FAQ
Common questions about integrating Guance Cloud / 观测云 MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Guance Cloud / 观测云 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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.
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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.
Connect Guance Cloud / 观测云 to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.