Vinkius
Airbrake

Airbrake MCP for AI. See real-time errors and deployment health status.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Airbrake MCP on Cursor AI Code EditorAirbrake MCP on Claude Desktop AppAirbrake MCP on OpenAI Agents SDKAirbrake MCP on Visual Studio CodeAirbrake MCP on GitHub Copilot AI AgentAirbrake MCP on Google Gemini AIAirbrake MCP on Lovable AI DevelopmentAirbrake MCP on Mistral AI AgentsAirbrake MCP on Amazon AWS Bedrock

Connect to your AI in seconds.

Airbrake provides proactive monitoring for your codebase health and application performance. This MCP lets your AI client automatically track error spikes in real time, analyze specific failure groups, and correlate current errors against deployment versions.

Check API connectivity, review all environments, or report a custom bug notice—all through natural conversation.

What your AI can do

Check airbrake status

Verifies that the MCP has active and functional API connectivity to Airbrake.

Get error group

Retrieves detailed information about a specific group of error types, including full stack traces.

Get project

Fetches all configuration details for one specific monitored project.

+ 7 more capabilities included
List and configure projects

Get a list of all monitored applications and pull detailed configuration data for any specific project ID.

Analyze current and historical errors

View groups of similar errors, see which ones are most frequent, check their severity, or inspect the full stack trace for a single instance.

Monitor deployment history

Track all past releases (Installments) and record new version deployments, linking them to specific environments like production or staging.

Check system status and connectivity

Verify that the API connection is active and your Airbrake account is operational. This confirms you can actually send data.

Report new error notices

Submit a custom, immediate report of an error when automated tracking isn't possible or necessary.

Included with Plan

Waiting for input…

AI Agent

Airbrake: 10 Monitoring Tools

These tools allow your agent to perform every function necessary for system observability—from checking basic API status to analyzing deep stack traces.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Airbrake on Vinkius

Check Airbrake Status

Verifies that the MCP has active and functional API connectivity to Airbrake.

Get Error Group

Retrieves detailed information about a specific group of error types, including full...

Get Project

Fetches all configuration details for one specific monitored project.

List Deploys

Generates a list of all past and current application deployments (Installments).

List Environments

Shows every configured environment, like 'staging' or 'production', for the...

List Error Groups

Lists available error groups for a project, providing occurrence counts and severity levels.

List Notices

Retrieves a list of individual reported error notices that occurred over time.

List Projects

Returns a comprehensive list of every application or service monitored by Airbrake.

Report Notice

Allows the user to submit a new, custom-defined error notice for tracking purposes.

Track Deploy

Records a new deployment version and environment name against a specific project ID.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Airbrake integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Airbrake, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,100+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week
Airbrake MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Airbrake. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Policy on every call

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

The Pain of Context Switching

Right now, checking the health of a service is a clicking nightmare. You log into your monitoring dashboard, navigate to the correct project, select the environment (prod, staging), and then you're stuck reading graphs. If you need to know what changed right before the spike, you have to open a separate deployment history tab and manually cross-reference version numbers with error timestamps.

With this MCP, your agent handles that context switching for you. You tell it: 'Show me the top 5 errors in staging related to project X.' It executes the calls, pulls together the data points—the group details, the environment list, and the failure count—and gives you one clean answer without you opening a single dashboard.

Get Detailed Error Group Analysis with Airbrake

Previously, seeing an error group name was useless. You'd see 'TimeoutError (10k occurrences)', but you wouldn't know *why* or which specific users were impacted. You’d have to manually click into the group details to find the stack trace and affected user IDs.

Now, when you ask your agent about a specific error group using get_error_group, it provides the full context right away: the complete stack trace, the number of times it's happened, and which users were impacted. You get actionable data immediately.

What your AI can actually do with this

You don't want to switch context just to check if the latest release broke something. This connector lets your agent manage your entire error monitoring workflow without you leaving your code editor. Need to know which environment is failing? You can list all configured environments and pull up detailed project configs instantly.

Want to see what happened after the last deployment? The MCP tracks those installs, allowing you to correlate new errors with specific versions. If a developer finds an issue while testing, they can report it directly through your agent. Because Vinkius manages this entire catalog of tools, you get one connection point for all your system health needs—from project oversight to deep error inspection.

Built · Hosted · Managed by Vinkius Airbrake - Monitor App Health & Errors via MCP
Server ID 019dd0b6-33bd-7342-ae1e-fa1a237f9560
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Questions you might have

How do I list all projects using list_projects? +

The tool gives you a clean roster of every monitored service in your account. This is useful for getting an initial scope of work and figuring out which project IDs you need to investigate next.

What's the difference between list_error_groups and get_error_group? +

list_error_groups gives you a summary count, showing all unique error types for a project. get_error_group lets you dive into one specific type to see detailed information like stack traces.

Can I track deployments manually with track_deploy? +

Yes, you can use track_deploy whenever an install happens, specifying the version and environment. This ensures your error tracking is always correlated against a known release date.

Do I need to call check_airbrake_status first? +

It's good practice. Calling check_airbrake_status confirms that the MCP connection isn't stale or broken before you start asking for complex data like list_notices.

When should I use the `report_notice` tool if I find a bug manually? +

You use report_notice when you need to track an error that Airbrake hasn't automatically captured. This lets you report custom errors right away, giving it full context for monitoring purposes.

What specific data points does the `get_error_group` tool provide? +

The get_error_group tool gives deep details on an error group. You get full stack traces, frequency counts, and a list of users who were affected by that particular type of error.

How do I check all the operational stages or environments using `list_environments`? +

Running list_environments shows you every configured stage for your project, like production, staging, and development. This is key for understanding where an error might be limited to.

Does the `list_deploys` tool help me correlate errors with specific versions? +

Yes, list_deploys provides a history of all recorded releases. You can see which version was deployed and when, letting you trace error spikes back to a faulty build.

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.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Airbrake. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on Windsurf Windsurf
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
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