Can my AI show me the most recent error groups for a project?

Yes. Use the `list_error_groups` tool with the project ID. The agent returns all error groups with occurrence counts, severity levels, and the last time each error was seen.

How do I track a Installment through the AI?

Use the `track_Install` tool with the project ID, version string, and environment name. The agent records the Installment in Airbrake so you can correlate it with error rate changes.

Can I report a custom error to Airbrake via my AI agent?

Yes. The `report_notice` tool sends a custom error with a type and message to any project. This is useful for tracking non-exception events or test failures.

INSTANT PLUG AND PLAY

Airbrake MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Check Airbrake Status, Get Error Group, Get Project, and more

Name: Airbrake
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 10 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Airbrake app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="Airbrake Assistant",
            instructions=(
                "You help users interact with Airbrake. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Airbrake MCP Server

Connect your Airbrake account to any AI agent and manage your entire error monitoring workflow through natural conversation.

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

What you can do

Project Management — List all monitored projects and fetch detailed project configuration
Error Group Analysis — List error groups by project with occurrence counts, severity, and last-seen timestamps
Deep Error Inspection — Inspect individual error groups with full stack traces, affected users, and frequency data
Error Notices — List individual error occurrences within a group and report custom errors for tracking
Deployment Tracking — List all tracked Installments and record new releases with version and environment info
Environment Overview — View all configured environments (production, staging, development) per project
Health Check — Verify API connectivity and account status

The Airbrake 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.

All 10 Airbrake tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Airbrake through Vinkius, your AI agent gets direct access to every tool listed below — spanning airbrake, error-monitoring-api, exception-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_airbrake_status

Verify API connectivity

get_error_group

Get error group details

get_project

Get project details

list_deploys

List deployments

list_environments

List environments

list_error_groups

List error groups

list_notices

List error notices

list_projects

List all projects

report_notice

Report an error notice

track_deploy

Track a deployment

Connect Airbrake to OpenAI Agents SDK via MCP

Follow these steps to wire Airbrake into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 Airbrake

Why Use OpenAI Agents SDK with the Airbrake MCP Server

OpenAI Agents SDK provides unique advantages when paired with Airbrake 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

Airbrake + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Airbrake MCP Server delivers measurable value.

Automated workflows: build agents that query Airbrake, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Airbrake, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Airbrake tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Airbrake to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Airbrake in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Airbrake immediately.

"List all my Airbrake projects."

"Show me the error groups for project 120394."

"Record a Installment for project 120394: version 3.2.1, production."

Troubleshooting Airbrake MCP Server with OpenAI Agents SDK

Common issues when connecting Airbrake 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.

Airbrake + OpenAI Agents SDK FAQ

Common questions about integrating Airbrake 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.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.