Rollbar MCP. Pinpoint production bugs and track deployments from chat.
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Rollbar connects your AI agent directly to a continuous code error tracking platform. Use it to list active bugs (`list_items`), find the most critical issues (`top_active_items`), or track down the source of failures with detailed stack traces.
You can also report new code deployments, linking errors back to specific Git commits using `report_deploy`. It lets your AI client manage the entire bug lifecycle without you leaving the chat.
What your AI agents can do
Get deploy
Retrieves specific details about one code deployment run.
Get item
Gets full information for a single error item (bug).
Get occurrence
Retrieves the complete, raw stack trace and details for one specific instance of an error.
Lists all current bugs tracked by Rollbar, or filters the list to show only the most frequent and severe active issues.
Accepts a specific error ID and returns all related instances (occurrences), including full stack trace logs for deep debugging.
Reads the history of code deployments or reports a new deployment, associating it with an environment and Git revision.
Changes the lifecycle status of an error item (e.g., resolving it or muting it) directly through the agent's command.
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Rollbar MCP Server: 10 Tools for Error Tracking & Deployment
These tools allow your agent to query the full scope of Rollbar's functionality—from listing every bug item to pulling deep stack traces and reporting new code deployments.
019d75ffget deploy
Retrieves specific details about one code deployment run.
019d75ffget item
Gets full information for a single error item (bug).
019d75ffget occurrence
Retrieves the complete, raw stack trace and details for one specific instance of an error.
019d75fflist deploys
Lists all code deployments that have been recorded in Rollbar.
019d75fflist invites
Lists any pending team invitations within the account settings.
019d75fflist items
Retrieves a list of every unique error item tracked by Rollbar.
019d75fflist occurrences
Lists all individual times an error item has occurred for a given bug.
019d75ffreport deploy
Records a new code deployment by specifying the environment and Git commit revision.
019d75fftop active items
Pulls a list of the most frequent error items currently appearing in production logs.
019d75ffupdate item
Changes the status of an error item to 'resolved,' 'muted,' or 'active'.
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
Make Your AI Do More
Start with Rollbar, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ 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
What you can do with this MCP connector
This server hooks your AI agent right up to Rollbar, giving it SRE-level access straight from your chat window. You won't need to switch tabs or open a dashboard—your agent handles the entire bug lifecycle for you. It lets you track down active bugs, see exactly how often they pop up, and even manage code deployments without lifting a finger.
Finding Bugs & Identifying Issues
You can tell your agent to pull a complete list of every unique error item tracked in Rollbar using list_items. Better yet, if you just wanna know what's killing users right now, it'll grab the most frequent and severe active issues by running top_active_items. When you need more context on one specific bug, use get_item to pull all its details.
If you want a full picture of how bad this thing is getting, your agent can list every individual time that error occurred using list_occurrences, and then fetch the raw stack trace logs for any single instance with get_occurrence.
Managing Code Deployments & History
The server lets you manage your release process entirely. You can view a full history of all recorded code deployments by running list_deploys, or retrieve specific details about one deployment run using get_deploy. If the team just shipped something new, you tell it to record that fresh deployment with report_deploy, specifying both the environment and the Git commit revision.
Controlling the Bug Status
When a bug is fixed or deemed safe, your agent can update its lifecycle status using update_item. You can change an error item's status to 'resolved,' 'muted,' or back to 'active.' For administrative tasks, it lists any pending team invitations in the account settings via list_invites.
How Rollbar MCP Works
- 1 Launch the Rollbar tool inside your MCP environment.
- 2 Sign in to your Rollbar developer dashboard and generate a Project Access Token with read/write permissions.
- 3 Paste that Rollbar Access Token into the connection form below.
The bottom line is: you use your AI client to communicate complex monitoring requests (like 'show me the stack trace for the top error') without needing to manually log into any dashboard or run CLI commands.
Who Is Rollbar MCP For?
This server is built for DevOps teams. You're talking to the Site Reliability Engineer who gets paged at 3 AM and needs immediate context on a failing service. Or maybe you’re a Software Developer stuck debugging an issue across multiple environments, tired of jumping between JIRA, GitHub, and your monitoring dashboard.
Uses top_active_items to quickly assess the overall health of production after a deployment. They use list_deploys to validate that the right code version is running.
Pulls complete stack traces using get_occurrence for a specific ID, dumping the raw log into their chat window to debug without leaving their IDE.
Monitors bug resolution by having the agent check active issues (list_items) and manually updating status using update_item after a fix is confirmed.
What Changes When You Connect
- Immediate Bug Triage: Use
top_active_itemsto instantly see which errors are causing the most pain across your user base. No more scrolling through massive, irrelevant log files; the agent shows you the top issues first. - Deep Stack Trace Debugging: When an issue pops up, asking for a specific ID and running
get_occurrencebrings back the raw stack trace straight into your chat window. This saves time copying and pasting logs between systems. - Deployment Correlation: Running
report_deploylinks every bug found to a specific commit revision and environment. If an error appears, you immediately know which deployment caused it, cutting hours off debugging time. - Full Lifecycle Control: You can't just see bugs; you manage them. Use
update_itemto change the status of an issue—mark it as resolved or mute a known false positive—all with one command. - History Review: Need to know what code was running last week? Running
list_deploysgives you a complete history, letting you compare deployment versions against error spikes.
Real-World Use Cases
The Post-Deployment Panic
A new feature just went live, and the system is throwing errors. Instead of diving into the main monitoring dashboard and filtering by environment, you ask your agent: 'What are the top active bugs right now?'. The agent runs top_active_items and immediately presents a list of the most frequent failures, letting you prioritize fixing what matters.
The Mysterious Intermittent Failure
A bug only appears under certain conditions. You get an error ID from a user report. You tell your agent to get_occurrence for that ID. The agent pulls the full stack trace, showing you the exact line of code and method where it broke. Now you know precisely what function needs fixing.
Closing the Loop on Old Bugs
The dev team fixed Bug X last night. Instead of manually finding the ticket in JIRA, you instruct your agent to check and update_item for that specific error ID, changing its status to 'resolved' and documenting the fix directly within Rollbar.
Auditing Code Changes
Before merging a major branch, an engineer needs to confirm which code version is currently live. They ask the agent to list_deploys to get a timeline of recent deployments and check the associated Git commit IDs for verification.
The Tradeoffs
Searching without context
Asking 'What bugs are there?' — this is too vague. The agent doesn't know if you want all bugs ever, or just the most critical ones right now.
→
Start by running top_active_items. This focuses your attention immediately on the highest-impact issues, giving you actionable data first.
Forgetting to link deployments
Finding a bug but not knowing if it was introduced by the latest code release. You end up manually cross-referencing timestamps across multiple tools.
→
Always run report_deploy immediately after any major release, passing the environment and Git commit ID. This links the error to its source.
Getting lost in occurrences
You see a bug item but don't know when or how often it happened. You only get the general description, not the raw failure data.
→
After getting an error ID using get_item, always run list_occurrences to see how many times it popped up and then use get_occurrence for the full stack trace on one instance.
When It Fits, When It Doesn't
Use this server if your primary job involves debugging production code, correlating errors with specific code versions, or managing a structured error lifecycle. It's essential when you need to know what failed (list_items), how often it failed (top_active_items), and exactly why it failed (the stack trace from get_occurrence).
Don't use this if your only need is general log aggregation—if simple text logging suffices, a basic log management tool will work. You need Rollbar when the error itself must be treated as a traceable artifact tied to a deployment lifecycle. The tools are designed for deep, structured debugging and resolution workflow.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Rollbar API. 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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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 server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Finding an intermittent bug shouldn't take 20 minutes of dashboard clicking.
Today, if your service breaks, you jump between five different dashboards. You check the primary logging system for a timestamp, then open JIRA to find the associated ticket number, copy that ID, and paste it into your monitoring tool just to see the stack trace. It's a brutal cycle of copy-paste and context switching.
With this MCP server, you tell your agent: 'What happened with Bug X?' The agent executes `get_item` and pulls all necessary data—the full error details *and* the stack trace—into the chat window immediately. You stop jumping around; everything is right here.
Rollbar MCP Server: Instantly debug complex failures with `get_occurrence`.
The painful part of debugging today is that you find the error, but you don't know *why* it failed—just that it did. You have to guess which logs are relevant and try to reconstruct the failure state manually by sifting through hundreds of lines of unrelated log data.
Now, when your agent runs `get_occurrence`, it doesn't just show an error; it shows the raw code block where the exception was thrown, pinpointing the exact line number. It’s a massive jump in signal-to-noise ratio.
Common Questions About Rollbar MCP
How do I find the most critical bugs using top_active_items? +
You simply ask your agent to run top_active_items. It queries Rollbar and returns a ranked list of error items, showing you which issues are impacting the largest number of users right now.
Can I link an error to a specific code commit using report_deploy? +
Yes. You use report_deploy and provide both the environment name (like 'production') and the exact Git revision ID ('8a3bd41'). This ties all subsequent errors back to that deployment.
What's the difference between list_items and top_active_items? +
list_items shows every unique error type tracked in Rollbar. top_active_items, however, filters that list down to show only the issues with the highest current frequency or impact.
How do I resolve a bug ticket using update_item? +
You tell your agent which error item ID needs updating and specify the new status—'resolved' or 'muted'. The agent then calls update_item to change its lifecycle state.
If I need a full stack trace for an issue, what does `get_occurrence` retrieve? +
It pulls all raw details for one specific error occurrence. This includes the complete call stack and line number where the failure happened. You get the exact code context needed to pinpoint the bug's origin.
How do I see a full history of every release using `list_deploys`? +
list_deploys fetches a chronological list of all recorded deployments. It shows when code was pushed, which environment it targeted, and the associated Git commit ID. This lets you track rollouts over time.
I only have an error item ID; how do I use `get_item` to check its details? +
get_item pulls the summary metadata for a single, unique error ticket. You'll see when it was first reported, which environments saw it, and how many times it has occurred overall.
What does `list_invites` do if I need to manage team access? +
list_invites shows you all pending requests for adding users to your Rollbar project. It's useful for managing who has read or write access before connecting new team members.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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