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Airbrake MCP, Ready to Go

Use Claude or Cursor with the Airbrake MCP to manage error logs and track deployments. Get production stack traces directly in your AI client.

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No credit card required. Experience the power of this integration risk-free.

Manage error monitoring and release tracking directly from your code editor.

Airbrake MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Airbrake Connector?

975ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 887ms
Average 975ms
Max 1494ms
Trend (improving) ↓ 6%
Daily latency
1494ms 7/12/2026
947ms 7/13/2026
1107ms 7/14/2026
1026ms 7/15/2026
1039ms 7/16/2026
892ms 7/17/2026
912ms 7/18/2026
895ms 7/19/2026
969ms 7/20/2026
1062ms 7/21/2026
887ms 7/22/2026
1085ms 7/23/2026
997ms 7/24/2026
1098ms 7/25/2026
7/12/2026 7/25/2026

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AI Agent

What AI agents can do with Airbrake 10 Tools for Error Monitoring

Use these 10 tools to manage your projects, track deployments, and inspect error groups using natural language.

Get project

Get specific details about a monitored project. This helps you understand the scope of a project's configuration.

List deploys

See a list of all tracked deployments. Use this to see how many times you've released a specific version.

List environments

View all your configured environments like production or staging. This helps you see where your code is currently running.

List error groups

See all error groups for a specific project. It shows you the frequency and severity of each group.

List notices

See individual error occurrences within a group. This is useful for looking at specific instances of a bug.

List projects

Get a list of every project you monitor in Airbrake. Use it to quickly see your entire portfolio of apps.

Report notice

Report a custom error notice for tracking. This lets you manually log specific issues that need attention.

Track deploy

Record a new deployment with its version and environment. This ensures your errors are tied to the right release.

Check airbrake status

Verify that your API connection is working. Use it to make sure the Connector is communicating correctly with Airbrake.

Get error group

Fetch the full details of a single error group. It provides the stack trace and the number of affected users.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Airbrake Error Monitoring for Faster Debugging

This is for the engineer who's tired of tab-switching between their code and an error dashboard. It's for the person who needs to know what broke in production the second it happens.

On-call Engineer

Investigates production spikes and pulls stack traces instantly during an incident.

DevOps Lead

Tracks deployment versions and monitors environment health across staging and production.

QA Engineer

Reports custom test failures and monitors error groups across different environments.

Frequently Asked Questions

What is the Airbrake MCP? +

It is a connector that allows your AI agent to access your Airbrake dashboard. You can ask questions about errors, projects, and deployments without leaving your code editor.

How does it help with debugging? +

It lets your AI agent pull specific stack traces and error group details instantly. You can identify which bugs are spiking and see the exact lines of code that failed.

Can it see my production errors? +

Yes, it can view error groups across all your configured environments, including production, staging, and development.

Does it support multiple projects? +

Yes, it can list all your monitored projects and fetch specific configuration details for each one.

How do I connect it to my account? +

Once you subscribe on Vinkius, you just need to provide your Airbrake API key to your AI client to get started.

Can it track my deployments? +

Yes, it can record new releases with version numbers and environment info, which helps link errors to specific code changes.

Is it safe for my data? +

The Connector only accesses the data within your Airbrake account that you authorize through your API key.

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.

Your AI, connected to everything.

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