Honeybadger MCP. Stop clicking dashboards. Start asking questions.
Honeybadger MCP lets you monitor application health, track errors, and check uptime without leaving your development environment. Connect it to any AI client to list projects, analyze error groups, see backtraces from individual failures, or audit recent deployments using natural conversation.
Give Claude and any AI agent real-world access
List all monitored applications, showing basic details like language used or the count of unresolved faults.
Query aggregate error groups (faults) to understand common patterns, class names, and where they are occurring across your infrastructure.
Retrieve deep details on single error occurrences (notices), including backtraces, request data, and the server environment that failed.
Mark specific errors as resolved or ignore them to keep your dashboards clean. You can also check site availability and track recent code deployments.
List the team members assigned to a project, helping you understand who owns which part of the bug-fixing workflow.
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What AI agents can do with Honeybadger (Error Tracking) with 10 Tools
Use these tools to list projects, diagnose fault groups, retrieve detailed notices, and manage deployment status for your application's health.
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 Honeybadger (Error Tracking) MCPList Projects
Lists all projects in Honeybadger, returning key details like the project name, ID, language used, and current error counts.
Get Project
Retrieves complete information for a specific Honeybadger project when you provide...
List Faults
Lists error groups (faults) within a project, detailing class names, common...
Get Fault
Gathers all details about one specific fault group, including its full history and...
Resolve Fault
Marks a specified Honeybadger fault as resolved, removing it from the list of active...
List Notices
Lists individual error occurrences (notices) belonging to a specific fault group for review.
Get Notice
Gets the full, detailed record of one single error notice, including backtraces and session context.
List Sites
Lists all external uptime monitoring sites associated with a project so you can...
List Members
Retrieves the full list of team members registered on a project, including their...
List Deployments
Shows the most recent code deployments for a project, detailing who pushed the...
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.
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Make Your AI Do More
Start with Honeybadger (Error Tracking), then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
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The Pain of Context Switching
Today, figuring out a complex error means jumping between five different places. You check the dashboard for an alert, then you open your Git client to see recent commits, you switch to a log viewer to pull the raw stack trace, and finally, you copy all that information into a ticket in Jira just to write it down. It's slow, tedious, and you lose context every time.
With this MCP, you ask your agent directly about the error. You tell it the fault ID, or even just 'the checkout failure from yesterday.' The agent pulls the backtrace, checks related deployments, and gives you a cohesive answer right in your chat window. All the data you need lives here.
Honeybadger MCP: Deep Error Analysis
You no longer have to manually list projects or query fault groups just to get an overview. The agent handles that orchestration for you, summarizing class names and environments so you know exactly where the problem is spread.
It’s not about getting data; it's about instant answers. You tell your agent 'Show me all unresolved faults in production,' and it gives you a clean list of what needs fixing, without you having to click through menus.
What Honeybadger MCP does for your AI
Need to figure out why the staging site is glitching? Instead of jumping through five different dashboards—checking logs here, looking at deployment history there, and cross-referencing team ownership somewhere else—just talk to your agent. This MCP connects directly to Honeybadger, giving you full visibility into your app's health status using only conversation.
Your agent can list all monitored projects for you, then drill down to query fault groups to understand class names and environment distribution across your entire setup. If a specific error group looks bad, you can ask it to pull details from individual error notices, pulling backtraces and request data instantly.
You can also check recent deployments or even audit team roles responsible for different projects. It’s powerful stuff, and since Vinkius hosts this MCP, connecting it is simple: just link your preferred AI client and start asking questions.
019d75b2-66d2-7018-854e-6707705623e0 How to set up Honeybadger MCP
The bottom line is you get a single source of truth for all your application health data without switching tabs or writing complex API calls.
Subscribe to this MCP and enter your Honeybadger Personal Auth Token.
Your AI client connects to the service, making all error monitoring data available through natural conversation.
You ask your agent specific questions—like 'What was wrong with the checkout page yesterday?'—and it returns detailed, actionable answers.
Who uses Honeybadger MCP
This is for the SRE who's sick of jumping between dashboards at 2 AM, or the developer who just needs to see a backtrace without leaving their IDE. If your job involves figuring out why something broke in production, this MCP saves you hours.
Uses it to debug exceptions and inspect full backtraces for specific errors directly within their coding environment.
Monitors global uptime sites, tracks deployment histories, and audits fault groups to ensure infrastructure stability across all environments.
Audits unresolved fault counts and team assignments to optimize incident response protocols and assign ownership for critical bugs.
Benefits of connecting Honeybadger MCP
Pinpoint failures faster: Instead of manually searching through logs, you can ask your agent to list notices or get a notice for the exact backtrace needed. This drastically cuts down debugging time.
Understand code changes instantly: By listing deployments and checking site availability, you immediately know if a recent code push is responsible for an increase in faults.
Simplify triage workflows: Use the 'resolve_fault' tool or similar actions to mark issues as resolved right from your chat window. Your team stays focused only on what needs active work.
Get project context quickly: Need to know who owns a bug? List members gives you that ownership data, while list_projects shows the overall status of all monitored services.
Deep dive into every failure: Don't just see an error message. Use 'get_notice' to retrieve session context and request data for granular understanding of what triggered the fault.
Honeybadger MCP use cases
The production bug needs immediate root cause analysis
A developer sees a spike in errors. They ask their agent to list faults, identify the top error group, and then use get_notice on that fault to retrieve the full backtrace and request data. They find it's related to a specific API call missing required parameters.
Investigating service degradation after an update
An SRE notices uptime dipping. They use list_deployments to see what code was pushed 3 hours ago, then check the fault data against that deployment to confirm the new revision caused the regression.
Auditing project ownership and responsibilities
An Engineering Lead needs to know who should fix a critical bug. They ask the agent to list_members for the specific project, confirming which team member was assigned responsibility for that module.
Clearing up stale error reports
A developer confirms a previously reported fault is fixed in the latest release. Instead of logging into the dashboard, they simply ask their agent to resolve_fault, keeping the error count accurate and clean.
Honeybadger MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Treating it like a ticketing system
A user assumes that using list_projects will also allow them to assign tickets or change statuses outside of Honeybadger's core fault management.
Remember this MCP is for technical monitoring. Use get_fault and resolve_fault to manage the state of errors within Honeybadger, but keep external ticket creation in your separate project management tool.
Ignoring deployment history
A developer sees a fault increase but assumes it's random. They waste time checking logs without knowing when the problem started.
Always start by using list_deployments. This tells you if a recent code change triggered the issue, which immediately narrows down where to look for fixes.
When to use Honeybadger MCP
Use this MCP if your primary pain point is understanding why and when an application failed in production. You need deep visibility into error backtraces, uptime metrics, and deployment history. If you are constantly copy-pasting stack traces from logs or jumping between a monitoring dashboard and Git to check commits, this tool is for you.
Don't use it if your needs are purely workflow management (e.g., updating customer records) or general knowledge retrieval that isn't tied to application performance data. For those tasks, look into other MCPs in the Vinkius catalog that specialize in CRM or documentation tools. This tool is narrowly focused on app health and runtime failure analysis only.
Frequently asked questions about Honeybadger MCP
How do I check if the error was caused by a recent deployment using Honeybadger MCP? +
You can use list_deployments first. This shows the revision history and who pushed what. Then, you cross-reference those dates with your fault data to see if an increase in errors aligns with a specific code change.
Can I resolve faults using the Honeybadger MCP? +
Yes, you can use 'resolve_fault' to mark issues as fixed. This is useful when your team confirms that a critical bug has been addressed and should no longer be tracked.
What information does get_notice provide for debugging? +
get_notice gives you the most granular data point: the full backtrace, request parameters, session context, and the exact server environment where that single error occurred. It's essential for root cause analysis.
Does Honeybadger MCP help with uptime monitoring? +
Yes, it includes tools like list_sites to monitor site availability across different external endpoints. This lets you confirm if the failure is system-wide or limited to a specific service.
Do I need developer credentials for Honeybadger MCP? +
You must provide your personal Auth Token when setting up the connection. The agent uses this token to authenticate and pull all the necessary project data on your behalf.
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