# Rollbar MCP for AI Agents AI Agent Connect > Rollbar MCP connects your AI client to your error tracking dashboard. You can pull active bugs, scan stack traces, and manage deployment history without switching tabs. It turns your AI into a proactive site reliability engineer that handles the heavy lifting of incident response and bug triaging. ## Overview - **Category:** developer-tools - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_ZyimPl9zqDuxVsMqXSBzyj2n50lfs0FC7IAdWJ1l/ai-agent-connect - **Tags:** error-tracking, bug-reporting, stack-trace, site-reliability, deployment-monitoring, incident-resolution ## Description Imagine you're getting paged at 2 AM because a production release just started throwing 500 errors. Usually, you'd have to log into a dashboard, filter through hundreds of noisy logs, and try to find the one stack trace that actually matters. This Connector changes that by letting your AI client do the digging for you. You can ask it to pull the most frequent errors hitting your users right now or grab the specific logs from a failed deployment. It handles the repetitive work of scanning for patterns while you focus on actually writing the fix. When you use this through the Vinkius catalog, it feels like having a senior engineer sitting next to you who already knows where all the skeletons are buried in your codebase. You get to stay in your flow, whether you're in a chat window or your IDE, instead of hunting through nested menus to find out why a payment gateway just went dark. It's about moving from "where is the bug?" to "here is the fix" in a fraction of the time. You can manage the entire lifecycle of an error from discovery to resolution without ever leaving your primary workspace. ## Tools ### get_deploy Get the details for a specific code deployment. It helps you see exactly what went live and when. ### get_item Fetch the full details for a specific error ticket. Use this to see the history of a particular bug. ### get_occurrence Pull the raw stack trace for a specific error instance. This shows you the exact line of code that failed. ### list_invites See who is waiting for an invite to your project. Use this to manage team access. ### list_items Get a list of every error item tracked in your project. This is the starting point for most bug triages. ### list_occurrences See every individual time a specific error happened. This helps you gauge the scale of an issue. ### list_deploys See a list of all registered deployments. It's the quickest way to check your recent release history. ### report_deploy Log a new release to your dashboard with a Git commit. It links your code changes to your error monitoring. ### top_active_items See which errors are happening most often. Use this to prioritize what to fix first. ### update_item Change a bug's status to resolved or muted. This lets you manage your backlog without clicking buttons. ## Prompt Examples **Prompt:** ``` Check the dashboard for any listed error items recorded recently. ``` **Response:** ``` I checked your Rollbar project and found 4 active error tickets. The most frequent ones are related to the login gateway. Would you like me to pull the stack trace for the highest-impact one? ``` **Prompt:** ``` Get the stack trace and precise occurrence detail for occurrence ID '1234abcd'. ``` **Response:** ``` I've retrieved the logs for occurrence 1234abcd. It shows an uncaught TypeError at Line 42 in payments_module.js. Here is the full trace: ``` File: payments_module.js, Line 42 Error: TypeError: Cannot read property 'id' of undefined Stack Trace: at processPayment (payments_module.js:42:15) at handleCheckout (checkout_flow.js:102:5) ``` ``` **Prompt:** ``` Report a new deployment in Rollbar for the 'production' environment using the commit revision '8a3bd41'. ``` **Response:** ``` Done. I've logged the new production deployment for commit 8a3bd41. All new errors from this release will now be correctly linked to this update. ``` ## Capabilities ### Pull active error lists Get a list of all current bugs tracked in your project instantly. ### Identify high-impact issues See which errors are hitting your users the hardest to prioritize your work. ### Fetch specific stack traces Grab the full technical logs for a single error occurrence to see the exact failure point. ### Track deployment history Review previous code releases and their statuses to see what went live and when. ### Report new releases Log a new deployment with a specific Git commit hash to link code changes to monitoring. ### Update bug status Change an error from active to resolved or muted without clicking buttons in a dashboard. ## Use Cases ### Triage a production spike An SRE asks the agent to find the most frequent errors and gets a ranked list of the biggest issues hitting users. ### Debug a failed payment A dev provides an error ID and asks for the stack trace to see exactly which line in the payment module failed. ### Verify a new release A manager asks the agent to list recent deployments to confirm the production rollout was successful. ### Bulk resolve bugs An engineer asks the agent to mark all items from a specific legacy project as resolved to clean up the dashboard. ## Benefits - Stop hunting for logs by using list_items to see all active bugs instantly. - Prioritize your work using top_active_items to see which errors hit the most users. - Get deep technical context faster by pulling raw stack traces with get_occurrence. - Keep your deployment history accurate by using report_deploy to link commits to releases. - Clean up your backlog quickly by changing ticket statuses with update_item. - Reduce context switching by managing your entire error lifecycle inside your AI client. ## How It Works The bottom line is you get a direct line to your error logs without ever leaving your chat interface. 1. Generate a Project Access Token from your Rollbar developer dashboard. 2. Paste that token into the connection form to link your Connector. 3. Ask your agent to list production errors or fetch a specific stack trace. ## Frequently Asked Questions **How can the Rollbar MCP help me during a production outage?** It helps you triage faster by pulling the most frequent errors and stack traces instantly into your chat interface, so you can identify the root cause without switching apps. **Can I use the Rollbar MCP to see my recent code deployments?** Yes, you can ask your agent to list all registered deployments to see what's live and when it happened, helping you correlate releases with performance changes. **Does the Rollbar MCP let me update bug statuses?** You can use it to change the status of an error item to resolved or muted without leaving your AI client, making it easy to keep your backlog organized. **Can the Rollbar MCP help me find specific stack traces?** It can pull the full technical details for a specific error occurrence so you can see exactly where your code failed, including line numbers and file names. **Is the Rollbar MCP good for site reliability engineering?** It's a great tool for SREs who need to monitor deployment health and identify critical bugs quickly to maintain high uptime. **How do I connect my Rollbar account to the Connector?** You just need to generate a Project Access Token from your Rollbar dashboard and paste it into the connection form to link your account. **Can the assistant manipulate or modify my raw stack trace data?** No, raw occurrence logs and stack traces are absolutely immutable in Rollbar to preserve forensic tracking accuracy. The AI can pull the detailed traces efficiently for you using tools like `get_occurrence`, but it cannot rewrite history or change the raw context data of any logged exception. It can only adjust the top-level ticket 'status' (resolving or muting) via the `update_item` operation. **Is possible to correlate an unexpected increase of exceptions immediately with a software deploy?** Yes! The conversational integration empowers exactly this workflow natively. You can instruct the assistant to retrieve the newest deployment records (`list_deploys`), and then read the high-frequency active exceptions concurrently listed on the top items (`top_active_items`). The AI can parse these timelines inside the chat log organically and identify patterns that align with the specific revision uploaded to production. **Can the AI filter errors by environment (e.g., production vs. staging)?** Yes. The `list_items` tool accepts an `environment` parameter, so you can ask the AI to show only production errors, staging errors, or any other custom environment you have configured in Rollbar.