# Airbrake MCP for AI Agents AI Agent Connect > Airbrake MCP gives your AI agent direct access to your error monitoring dashboard. You can fetch project details, inspect stack traces, and track deployments without switching tabs. It turns your AI into an active site reliability engineer that catches bugs before they hit your users. ## Overview - **Category:** productivity - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_HHP9bR8t0n7QJxt74sVaPWkt2VOwkv5TiYKo0BfB/ai-agent-connect - **Tags:** airbrake, error-monitoring-api, exception-tracking, application-health, installment-automation, bug-manage, devops-tools, stability-metrics, mcp ## Description Imagine you're in the middle of a deep coding session and a production bug pops up. Usually, you'd have to leave your editor, log into a dashboard, and start digging through dozens of error groups to find the right stack trace. It's a tedious process that breaks your flow and makes it harder to stay focused on the actual fix. With this Connector, you can just ask your AI agent what's happening. It pulls the data for you, identifies which errors are spiking, and shows you exactly which users are affected. You can even record new releases and check environment statuses on the fly. It handles the heavy lifting of navigating your account so you can stay in your IDE. It's a great way to manage your application health while staying in your flow, and it fits perfectly into the Vinkius catalog for easy setup. By connecting your account, you turn your AI into an active site reliability engineer that knows your project history and can show the most critical issues the moment you ask. You get to spend less time clicking through filters and more time actually writing code that works. ## Tools ### 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. ## Prompt Examples **Prompt:** ``` Show me the most frequent errors in my production project. ``` **Response:** ``` ### Top Error Groups: Project 'API Gateway' | Error Group | Occurrences | Severity | Last Seen | | :--- | :--- | :--- | :--- | | **TimeoutError** | 1,847 | Critical | 2 min ago | | **ConnectionRefused** | 523 | High | 15 min ago | | **ValidationError** | 189 | Medium | 1 hour ago | Would you like to see the stack trace for the **TimeoutError**? ``` **Prompt:** ``` Did we just release version 4.0.1 to staging? ``` **Response:** ``` ### Recent Deployments * **Version 4.0.1** * **Environment:** Staging * **Status:** Tracked successfully * **Timestamp:** 2026-07-10 14:20:00 I've confirmed this release is now being tracked for error correlation. ``` **Prompt:** ``` Give me the stack trace for the last 'TimeoutError' in the Gateway project. ``` **Response:** ``` ### Error Details: TimeoutError **Frequency:** 1,847 occurrences **Affected Users:** 42 unique users **Stack Trace:** ```python File "gateway_service.py", line 142, in handle_request response = requests.get(target_url, timeout=5) TimeoutError: The request timed out after 5 seconds ``` Would you like me to check the environment settings for this project? ``` ## Capabilities ### Fetch project configurations Get all the settings for your monitored projects in one go. ### Identify high-frequency errors See which error groups are appearing most often and their severity. ### Inspect stack traces Look into specific errors to see the exact lines of code that failed. ### Log new releases Record your version numbers and environments to link errors with specific deployments. ### Check account health Verify that your API connection is active and your account is ready. ## Use Cases ### Debugging a production crash An engineer asks the agent to find the most frequent error in the API Gateway project and gets the stack trace immediately. ### Tracking a new release A DevOps lead tells the agent to record version 3.2.1 in production. The agent ensures errors are correlated correctly. ### Auditing error spikes A QA lead asks the agent to list error groups for the mobile app to see which ones have the highest severity. ### Checking connectivity A developer wants to make sure the integration is working and asks the agent to check the connection status. ## Benefits - Stay in your code editor while investigating production bugs by fetching stack traces instantly. - Link new releases with error spikes by logging every version change automatically. - Get a high-level view of your application health by seeing all monitored apps at once. - Identify which bugs are hitting your users hardest by viewing frequency and severity. - Verify your environment status across staging and production quickly without opening a browser. ## How It Works The bottom line is you get a hands-on way to manage your error monitoring without leaving your workspace. 1. Subscribe to this Connector on Vinkius. 2. Add your Airbrake API key to your AI client's configuration. 3. Start asking your agent to list projects or investigate specific error groups. ## 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.