Honeybadger (Error Tracking) MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Honeybadger (Error Tracking) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"honeybadger-error-tracking": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Honeybadger (Error Tracking) Agent",
instructions:
"You help users interact with Honeybadger (Error Tracking) " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Honeybadger (Error Tracking)?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Honeybadger (Error Tracking) MCP Server
Connect your Honeybadger account to any AI agent and take full control of your exception monitoring and application health through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Honeybadger (Error Tracking) tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Project Management — List all monitored projects and extract high-level details including API keys, languages, and unresolved fault counts directly from your agent
- Fault Analysis — Query fault groups (error aggregates) to understand class names, messages, and environment distributions across your infrastructure
- Resolution Workflow — Mark faults as resolved or ignore them to maintain a clean error dashboard and ensure your team stays focused on critical issues
- Notice Inspection — Deep-dive into individual error occurrences (notices) to retrieve backtraces, request data, session context, and server environments
- Uptime & Deployment — Monitor site availability and track recent deployment revisions to identify if a specific code change triggered new regressions
- Team Audit — List registered team members and their roles to understand notification distribution and ownership for specific projects
The Honeybadger (Error Tracking) MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Honeybadger (Error Tracking) to Mastra AI via MCP
Follow these steps to integrate the Honeybadger (Error Tracking) MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Honeybadger (Error Tracking) via MCP
Why Use Mastra AI with the Honeybadger (Error Tracking) MCP Server
Mastra AI provides unique advantages when paired with Honeybadger (Error Tracking) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Honeybadger (Error Tracking) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Honeybadger (Error Tracking) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Honeybadger (Error Tracking) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Honeybadger (Error Tracking) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Honeybadger (Error Tracking), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Honeybadger (Error Tracking) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Honeybadger (Error Tracking) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Honeybadger (Error Tracking) tools alongside other MCP servers
Honeybadger (Error Tracking) MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Honeybadger (Error Tracking) to Mastra AI via MCP:
get_fault
Get full details of a Honeybadger fault
get_notice
Get full details of a Honeybadger notice
get_project
Get full details of a Honeybadger project
list_deployments
List recent deployments registered in a Honeybadger project
list_faults
Returns class names, messages, environments, occurrence counts, and first/last noticed dates. List faults (error groups) for a Honeybadger project
list_members
List team members on a Honeybadger project
list_notices
List notices (individual error occurrences) for a Honeybadger fault
list_projects
Returns project names, IDs, tokens, language, environments, and fault/notice counts. List all projects in Honeybadger
list_sites
List uptime monitoring sites in a Honeybadger project
resolve_fault
Irreversible matrix state change. Resolve a Honeybadger fault
Example Prompts for Honeybadger (Error Tracking) in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Honeybadger (Error Tracking) immediately.
"List all unresolved faults in my 'production-backend' project"
"Show me the details for fault ID 123456"
"List recent deployments for project ID 9876"
Troubleshooting Honeybadger (Error Tracking) MCP Server with Mastra AI
Common issues when connecting Honeybadger (Error Tracking) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpHoneybadger (Error Tracking) + Mastra AI FAQ
Common questions about integrating Honeybadger (Error Tracking) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Honeybadger (Error Tracking) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Honeybadger (Error Tracking) to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.