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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.

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VS Code Copilot

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.

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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.

Setup guide

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. 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.json in your workspace.

  2. 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. 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. 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.

.vscode/mcp.json
{
  "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

You commit the configuration to your repository's config file. This allows every developer on the team to use tools like `query_data` automatically without manual installation.
Yes, Copilot can pull active alerts directly into your editor. By running `list_events` and `get_event`, it displays the exact error details alongside your source code for fast debugging.
You configure them in your local environment variables or your user-level settings file. This keeps sensitive credentials out of the shared repository while allowing the MCP server to authenticate.
Yes, you can use `list_access_keys` to inspect active credentials. This helps your team maintain security compliance directly from the editor.
Copilot processes your requests locally using the VS Code runtime. Your workspace credentials and raw query data are never sent to external AI servers; they are only used to authenticate direct HTTPS requests to the secure endpoints.

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