How to Use the HyperDX (Open Source Observability) MCP in Windsurf

Q: How does Windsurf use the HyperDX (Open Source Observability) MCP Server to debug errors?

Cascade autonomously runs listlogs with your specific error filters when a test fails. It matches those logs against live traces to isolate the broken microservice instantly.

Q: Can Cascade modify my monitoring rules using HyperDX (Open Source Observability) in Windsurf?

Yes. Cascade uses the createalert and deletealert tools to update your alert configurations. It writes these rules based on the telemetry needs of your active code branch.

Q: How do I view my production metrics inside Windsurf with HyperDX (Open Source Observability)?

Cascade calls listdashboards to locate your metrics and uses getdashboard to render the configuration details. This lets you inspect system health directly alongside your code.

Query logs and manage alerts directly within Windsurf using Cascade's autonomous multi-step execution.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect HyperDX (Open Source Observability) MCP to Windsurf

Create your Vinkius account to connect HyperDX (Open Source Observability) to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup HyperDX (Open Source Observability) with Windsurf

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous Incident Triage in Windsurf

When production breaks, Cascade doesn't wait for your permission to investigate. It chains `list_logs` and `list_events` to dig through raw system telemetry, tracking down the exact trace or error pattern causing the issue. You get a clean breakdown of the incident without having to run individual search commands. Cascade analyzes the output, correlates the logs with active system events, and presents the root cause directly in your workspace.

Declarative Alert Management via MCP Server

Skip the browser UI when configuring your alerts. This MCP Server lets Cascade check your monitoring setup using `list_alerts` and instantly modify rules with `create_alert` or `delete_alert` based on your codebase changes. If you modify a database schema, Cascade can immediately write a new alert rule to track query latency. It aligns your monitoring directly with the code you just wrote.

Live Telemetry Dashboards

Keep an eye on system health without leaving your editor. Cascade uses `list_dashboards` to find your metrics and pulls specific details with `get_dashboard` to show you real-time service performance. It reads the live dashboard structure and highlights anomalies in your current workspace context. You see exactly how your local changes might impact production throughput.

Setup guide

Set up HyperDX (Open Source Observability) MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the HyperDX (Open Source Observability) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my HyperDX (Open Source Observability) payment history." If connected, Cascade will call the HyperDX (Open Source Observability) tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "hyperdx-open-source-observability-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HyperDX. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect HyperDX (Open Source Observability) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about HyperDX (Open Source Observability) MCP in Windsurf

Cascade autonomously runs `list_logs` with your specific error filters when a test fails. It matches those logs against live traces to isolate the broken microservice instantly.

Yes. Cascade uses the `create_alert` and `delete_alert` tools to update your alert configurations. It writes these rules based on the telemetry needs of your active code branch.

Cascade calls `list_dashboards` to locate your metrics and uses `get_dashboard` to render the configuration details. This lets you inspect system health directly alongside your code.

No. Windsurf chains these tools autonomously using the MCP standard. If you ask Cascade why a service is slow, it will run `list_logs` and `list_events` in sequence to find the bottleneck.

Your raw logs, events, and alert configurations never leave your local machine or touch external intermediary servers. The integration runs inside a secure local sandbox, passing credentials directly to the HyperDX API.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript