How to Use the Guance Cloud / 观测云 MCP in VS Code Copilot
Share Guance Cloud / 观测云 telemetry tools with your entire team directly in VS Code Copilot.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Guance Cloud / 观测云 MCP to VS Code Copilot
Create your Vinkius account to connect Guance Cloud / 观测云 to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Team-wide telemetry queries inside VS Code Copilot
The `query_data` tool executes DQL queries directly from your Copilot chat interface. By committing the server configuration to your repository, every developer on your team can query live metrics without needing separate setup. This makes debugging production issues a shared, friction-free experience across the codebase. Developers can also run `list_log_sources` to check which log pipelines are active. This ensures everyone writes log statements that align with the team's centralized telemetry standards.
Triage incidents using the VS Code Copilot MCP Server
The `list_events` tool fetches active production alerts into your shared development environment. When an incident occurs, your team can use this MCP Server to pull the exact event details with `get_event` and start writing a patch immediately. This cuts down triage time by keeping the error context right next to the code. To ensure you are fixing the right problem, Copilot can run `list_monitors` to pull the active alert rules. You can inspect the specific thresholds with `get_monitor` to verify why the alert triggered in the first place.
Inspect dashboards and workspace settings
The `list_dashboards` tool lists all active visualization boards in your workspace. This helps your team quickly locate where specific service metrics are mapped. You can also run `get_workspace` to verify that your local environment is pointed at the correct production or staging workspace. For compliance and security checks, Copilot can call `list_access_keys` to audit active credentials. You can also run `get_billing` to verify that your team's test suites aren't pushing the workspace over its usage limits.
Set up Guance Cloud / 观测云 MCP in VS Code Copilot
Prerequisites
- VS Code 1.99 or later with GitHub Copilot extension
- Active Vinkius subscription with a valid endpoint token
- 1
Open MCP configuration
Open the Command Palette (
Cmd+Shift+P/Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create.vscode/mcp.jsonin your workspace. - 2
Add the Guance Cloud / 观测云 MCP
Paste the JSON snippet shown on the right into your
.vscode/mcp.json. Replace[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. - 3
Switch to Agent mode
Open Copilot Chat (
Cmd+Shift+I/Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes. - 4
Verify the connection
In the Copilot Chat input, type
#to list available tools. You should see the Guance Cloud / 观测云 tools listed. Try asking: "List my recent Guance Cloud / 观测云 transactions" and Copilot will invoke them automatically.
{
"mcpServers": {
"guance-cloud-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
} 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.
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Common questions about Guance Cloud / 观测云 MCP in VS Code Copilot
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Guance Cloud / 观测云 MCP today
We host it, we monitor it, we maintain it. You just paste one token.