Guance Cloud / 观测云 MCP Server for Cline 10 tools — connect in under 2 minutes
Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Guance Cloud / 观测云 through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.
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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.
Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Guance Cloud / 观测云 tool calls without waiting for prompts between steps. Connect 10 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
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 Cline 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 Cline via MCP
Follow these steps to integrate the Guance Cloud / 观测云 MCP Server with Cline.
Open Cline MCP Settings
Click the MCP Servers icon in the Cline sidebar panel
Add remote server
Click "Add MCP Server" and paste the configuration above
Enable the server
Toggle the server switch to ON
Start using Guance Cloud / 观测云
Ask Cline: "Using Guance Cloud / 观测云, help me...". 10 tools available
Why Use Cline with the Guance Cloud / 观测云 MCP Server
Cline provides unique advantages when paired with Guance Cloud / 观测云 through the Model Context Protocol.
Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
Guance Cloud / 观测云 + Cline Use Cases
Practical scenarios where Cline combined with the Guance Cloud / 观测云 MCP Server delivers measurable value.
Autonomous feature building: tell Cline to fetch data from Guance Cloud / 观测云 and scaffold a complete module with types, handlers, and tests
Codebase refactoring: use Guance Cloud / 观测云 tools to validate live data while Cline restructures your code to match updated schemas
Automated testing: Cline fetches real responses from Guance Cloud / 观测云 and generates snapshot tests or mocks based on actual payloads
Incident response: query Guance Cloud / 观测云 for real-time status and let Cline generate hotfix patches based on the findings
Guance Cloud / 观测云 MCP Tools for Cline (10)
These 10 tools become available when you connect Guance Cloud / 观测云 to Cline 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 Cline
Ready-to-use prompts you can give your Cline 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 Cline
Common issues when connecting Guance Cloud / 观测云 to Cline through the Vinkius, and how to resolve them.
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Guance Cloud / 观测云 + Cline FAQ
Common questions about integrating Guance Cloud / 观测云 MCP Server with Cline.
How does Cline connect to MCP servers?
Can Cline run MCP tools without approval?
Does Cline support multiple MCP servers at once?
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Connect Guance Cloud / 观测云 to Cline
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.