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

Q: Can I require human approval before Mastra AI modifies my HyperDX (Open Source Observability) alerts?

Yes. You can set the requireToolApproval flag on your agent for destructive actions like deletealert or createalert. The workflow pauses until an engineer approves the modification.

Q: Where is my HyperDX (Open Source Observability) telemetry data stored during MCP execution?

Telemetry data retrieved via listlogs and listevents is processed entirely in-memory within your isolated execution environment. No log payloads or dashboard metadata are cached or stored on Vinkius servers.

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Connect HyperDX (Open Source Observability) MCP to Mastra AI

Create your Vinkius account to connect HyperDX (Open Source Observability) to Mastra AI 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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Setup HyperDX (Open Source Observability) with Mastra AI

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Automate Log Triage with Mastra AI Workflows

The `list_logs` tool queries your recent log streams when a workflow triggers. If Mastra AI detects a spike in error rates, it initiates a multi-step investigation to find the root cause. Workflows use conditional branching to check trace details via `list_events`. Should database spans show high latency, the agent escalates the issue.

Let this MCP Server Manage Your Alert Rules

The `create_alert` tool sets up temporary alert rules during critical deployments or load tests. Your workflow configures these rules automatically, then tears them down when the test completes. To clean up, the `delete_alert` tool removes the temporary configurations based on their unique IDs. This prevents alert fatigue by ensuring only relevant monitors remain active.

Verify System Health via Dashboard Metadata

The `get_dashboard` tool fetches layout configurations to verify that critical service panels are active. Your workflow inspects these details to ensure new deployments haven't broken your monitoring views. By listing configurations with `list_dashboards`, your agent keeps track of all active operational views. It alerts the team if an essential dashboard goes missing.

Setup guide

Set up HyperDX (Open Source Observability) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All HyperDX (Open Source Observability) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "hyperdx-open-source-observability-mcp-client",
  servers: {
    "hyperdx-open-source-observability-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "HyperDX (Open Source Observability) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to HyperDX (Open Source Observability) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent HyperDX (Open Source Observability) transactions"
);
console.log(result.text);

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Common questions about HyperDX (Open Source Observability) MCP in Mastra AI

You configure automatic retries with exponential backoff directly in your Mastra workflow. When `list_logs` or `list_events` hits an API limit, the workflow pauses and retries the query without failing the entire run.

Yes. You can set the `requireToolApproval` flag on your agent for destructive actions like `delete_alert` or `create_alert`. The workflow pauses until an engineer approves the modification.

Initialize the client using the HTTP transport URL provided by Vinkius. Call `listTools` on the client and spread the resulting tools directly into your agent's tool array. Mastra handles the underlying MCP protocol.

This integration supports both standard SSE and Streamable HTTP transports. Mastra automatically detects the endpoint configuration and establishes a secure, persistent connection.

Telemetry data retrieved via `list_logs` and `list_events` is processed entirely in-memory within your isolated execution environment. No log payloads or dashboard metadata are cached or stored on Vinkius servers.

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