How to Use the Honeybadger (Error Tracking) MCP in Mastra AI

Q: Can my Mastra AI agent automatically resolve faults in Honeybadger (Error Tracking)?

Yes, using the resolvefault tool. For safety, we recommend using Mastra's requireToolApproval feature. This lets your agent propose the resolution but requires a human to click 'approve' before it happens.

Q: Can I get a list of all my projects with this MCP Server?

Yes, the listprojects tool returns all projects your API key can access. The response includes the project name, ID, language, and current fault counts, which is perfect for building automated reports.

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Connect Honeybadger (Error Tracking) MCP to Mastra AI

Create your Vinkius account to connect Honeybadger (Error Tracking) 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 Honeybadger (Error Tracking) with Mastra AI

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Automate Your Triage Workflow

Stop manually checking Honeybadger. Create a Mastra AI agent that periodically runs `list_faults` for your main project. You get back a list of active errors, including their class, message, and how many times they've happened. From there, your workflow can branch. If a fault's `occurrence_count` is over a certain threshold, your agent can use `get_fault` to pull the stack trace and automatically create a high-priority ticket. Mastra's engine handles the logic.

Safely Resolve Known Issues

Some errors are just noise. Your agent can identify them by matching the error message from the `list_faults` tool. Once a known-flaky error is identified, the agent can call `resolve_fault` to clear it. With Mastra AI's `requireToolApproval` option, you can add a human-in-the-loop step. The agent will propose resolving the fault and wait for a person to approve it before making the change. This gives you automation without giving up control of your MCP tools.

Connect Deployments to Uptime

This MCP server isn't just for exceptions. You can monitor your uptime checks by calling `list_sites`. Your agent can check if a site is down and correlate it with recent code changes. The workflow is simple: `list_deployments` to see what just shipped. Then, check the status from `list_sites`. If a site went down right after a deploy, the agent can trigger an alert with all the context included.

Setup guide

Set up Honeybadger (Error Tracking) 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 Honeybadger (Error Tracking) 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: "honeybadger-error-tracking-mcp-client",
  servers: {
    "honeybadger-error-tracking-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Honeybadger (Error Tracking) transactions"
);
console.log(result.text);

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Common questions about Honeybadger (Error Tracking) MCP in Mastra AI

Yes, using the `resolve_fault` tool. For safety, we recommend using Mastra's `requireToolApproval` feature. This lets your agent propose the resolution but requires a human to click 'approve' before it happens.

Mastra AI has built-in support for automatic retries with exponential backoff. If your agent's requests hit Honeybadger's rate limits, it will automatically wait and try again. This prevents your workflow from failing due to temporary load.

Schedule a workflow to run once a day. The agent should call `list_projects` to get all project IDs, then loop through them calling `list_faults`. It can then format the results into a summary and send it to Slack or email.

Yes, the `list_projects` tool returns all projects your API key can access. The response includes the project name, ID, language, and current fault counts, which is perfect for building automated reports.

The MCP server acts as a secure proxy. Your fault data, including stack traces and notice details, is streamed through an ephemeral, zero-trust environment and is never logged or stored. Your Honeybadger API key is also managed securely by the Vinkius platform.

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