Can I see the exact backtrace of an error through my agent?

Yes. Use the `get_notice` tool with a specific Notice ID to retrieve the full backtrace and request data. This allows your agent to help you identify the exact line of code causing the exception.

How do I mark an error as resolved from a conversation?

Use the `resolve_fault` tool by providing the Project ID and Fault ID. Your agent will update the status in Honeybadger, and you'll be notified if the same error occurs again in the future.

Can I monitor site availability using my agent?

Absolutely. Use the `list_sites` tool to see all registered uptime monitoring checks. Your agent will return site names, URLs, and their current status to ensure your infrastructure is healthy.

Honeybadger (Error Tracking) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Honeybadger (Error Tracking)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Honeybadger (Error Tracking) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Honeybadger (Error Tracking) Assistant",
            instructions=(
                "You help users interact with Honeybadger (Error Tracking). "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Honeybadger (Error Tracking)"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 10 tools from Honeybadger (Error Tracking) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Honeybadger (Error Tracking), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Honeybadger (Error Tracking) MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Honeybadger (Error Tracking)

Why Use OpenAI Agents SDK with the Honeybadger (Error Tracking) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Honeybadger (Error Tracking) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Honeybadger (Error Tracking) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Honeybadger (Error Tracking) MCP Server delivers measurable value.

Automated workflows: build agents that query Honeybadger (Error Tracking), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Honeybadger (Error Tracking), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Honeybadger (Error Tracking) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Honeybadger (Error Tracking) to resolve tickets, look up records, and update statuses without human intervention

Honeybadger (Error Tracking) MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Honeybadger (Error Tracking) to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Honeybadger (Error Tracking) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Honeybadger (Error Tracking) + OpenAI Agents SDK FAQ

Common questions about integrating Honeybadger (Error Tracking) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.