Bring Airbrake
to OpenAI Agents SDK
Learn how to connect Airbrake to OpenAI Agents SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Airbrake MCP Server?
Connect your Airbrake account to any AI agent and manage your entire error monitoring workflow through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your API Key from your Airbrake account settings
3. Start monitoring errors from Claude, Cursor, or any MCP client
Who is this for?
- Engineering Teams — investigate error spikes and review stack traces without leaving the code editor
- DevOps — track deployments and correlate releases with error rates
- QA Teams — monitor error groups across environments and report custom test failures
Built-in capabilities (10)
Verify API connectivity
Get error group details
Get project details
List deployments
List environments
List error groups
List error notices
List all projects
Report an error notice
Track a deployment
Why OpenAI Agents SDK?
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.
- —
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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Airbrake in OpenAI Agents SDK
Airbrake and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Airbrake to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Airbrake in OpenAI Agents SDK
The Airbrake 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Airbrake for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Airbrake MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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.
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.