BugSnag MCP. Query system stability and error details via chat.
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BugSnag. Connect your BugSnag account to your AI client to track application stability and manage errors. This server lets you list organizations, inspect error groups, retrieve event details, and monitor error trends using natural language.
Stop jumping between dashboards; get real-time debugging data and stability insights right from your agent.
What your AI agents can do
Get error
Gets details for a specific recurring error group.
Get event
Gets all data for one specific error instance.
Get project
Gets metadata about a specific project.
Shows every organization you have access to within BugSnag.
Shows every project that belongs to a specific organization.
Retrieves a list of recurring error types (error groups) and their current severity or frequency for a project.
Retrieves a list of specific instances (events) of errors that occurred within a project.
Retrieves metadata about a specific project, including its ID and name.
Provides specific metadata, severity, and frequency counts for a known error group ID.
Retrieves all metadata and occurrence details for a specific error event ID.
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BugSnag MCP Server: 10 Tools for Error & Event Management
Use these tools to list organizations, inspect error groups, retrieve specific event metadata, and monitor application stability metrics directly via your agent.
019d7565get error
Gets details for a specific recurring error group.
019d7565get event
Gets all data for one specific error instance.
019d7565get project
Gets metadata about a specific project.
019d7565get project stats
Gets error trends and statistics over time for a project.
019d7565list collaborators
Lists all people who work on an organization.
019d7565list errors
Lists all recurring error types for a given project.
019d7565list events
Lists all individual error events for a given project.
019d7565list organizations
Lists all BugSnag organizations you have access to.
019d7565list projects
Lists all projects within a specific organization.
019d7565list release stages
Lists deployment stages (e.g., Staging, Production) for a project.
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What you can do with this MCP connector
You hook up your BugSnag account to your AI client, and you get to track app stability and handle errors right from your chat. You don't gotta wait for a dashboard to load when a critical bug pops up. This server gives your agent direct access to the debugging data and stability insights you need.
List all organizations shows every BugSnag organization you've got access to. You can use list_projects to see every project within a specific organization. You can also get list_collaborators to see everyone working on an organization and list_release_stages to see a project's deployment stages like Staging or Production.
When you're looking at errors, list_errors gives you a list of recurring error types for a project, showing the error class, severity, and how often it's popping up. If you want to see specific error groups, get_error pulls details for a recurring error group. To check individual error instances, list_events gives you a list of all individual error events for a project.
For the details on one specific event, get_event gets all data for that single error instance. You can dig into a project's stats and trends over time with get_project_stats, and you can also grab metadata about a specific project using get_project.
You can really deep-dive into the data. get_error gives you specific metadata, severity, and frequency counts for a known error group ID. get_event retrieves all metadata and occurrence details for a specific error event ID. You can check out list_organizations to see all your accounts, and list_projects to see all the projects in an organization.
How BugSnag MCP Works
- 1 First, you subscribe to the server and pass your BugSnag Personal Auth Token.
- 2 Next, you ask your AI client to perform an action, like 'List all error groups for the Web Dashboard project'.
- 3 The agent calls the appropriate tool, pulls the data, and presents the results—error classes, severity, and counts—directly in the chat.
The bottom line is you use your agent to query BugSnag data without ever leaving your chat window.
Who Is BugSnag MCP For?
Software Engineers and SREs who hate context switching. This is for the ops engineer who gets paged at 2 am because a service failed, and needs to check error trends and event details faster than navigating the dashboard. Product Managers who need high-level error statistics shouldn't have to ask an engineer for a report.
Checks error details or event counts instantly without having to manually navigate the BugSnag dashboard.
Monitors stability trends and checks release stage health directly within their workflow tools to validate deployments.
Retrieves high-level error statistics and error group summaries using plain natural language queries.
What Changes When You Connect
- Check error details instantly. Instead of navigating to a specific error group page, you run
get_errorvia your agent to get its full metadata right away. - Track stability over time. Use
get_project_statsto see error trends and statistics for a project without manually building a time-series chart. - Diagnose specific bugs fast. When you need details on one single failure,
get_eventpulls the full context for that specific error instance. - See the whole picture. Running
list_organizationsandlist_projectslets you map out every service you have visibility on, all in one query. - Coordinate releases. Use
list_release_stagesto confirm which deployment environment is active before debugging an error, keeping deployments aligned. - Simplify the stack view. Running
list_errorsgives you a quick summary of every active error class for a project, letting you prioritize fixes immediately.
Real-World Use Cases
Investigating a sudden production failure
An SRE notices a spike in errors. They ask their agent: 'What's wrong with the iOS App project?' The agent uses list_errors to get the top error classes, then uses get_error on the worst one, and finally uses get_project_stats to confirm if the spike is a trend or a one-off event. They get the root cause in minutes, not hours.
Onboarding a new developer
A new engineer needs to know what services exist. They ask the agent to 'List all projects in the main organization.' The agent calls list_organizations then list_projects, giving the new dev a complete, structured inventory of every application in the stack.
Validating a release deployment
A DevOps team needs to confirm the target environment. They ask the agent to check the release stages for the 'Web Dashboard.' The agent uses list_release_stages, confirming if the code is actually sitting in 'Staging' before they start debugging, preventing deployment mistakes.
Auditing an error source
A Product Manager wants to know if a specific type of error is tied to a collaborator. They ask the agent to list collaborators and cross-reference that list with error details retrieved via get_error to determine who might own the fix.
The Tradeoffs
Manual Dashboard Hopping
Going to the main dashboard, filtering by project, clicking into the error groups tab, finding the error class, then clicking into the event list, and finally copying the metadata into a spreadsheet.
→
Let your agent run list_errors for the project, then pass the ID to get_error. If you need the specifics, follow up with list_events and then get_event. It's all a conversational flow.
Assuming Data Freshness
Relying on a cached view of project statistics, only to find the trend data is out of date because the underlying system hasn't synced its reports.
→
When checking trends, always use get_project_stats. If you suspect the data is stale, check the list_release_stages tool first to confirm the current deployment status.
Ignoring Project Boundaries
Running a general error query without specifying the project, resulting in a massive, unreadable list of errors spanning multiple unrelated applications.
→
Always start by using list_projects to narrow down the scope, then use list_errors with the specific Project ID to focus the query.
When It Fits, When It Doesn't
Use this if you need to move beyond viewing simple graphs and instead want to query the underlying metadata and event data directly. You need to answer questions like: 'What was the severity and count for this specific error group?' or 'What was the precise metadata for this failure?'
Don't use this if your only goal is to see a general, high-level summary chart. For that, a standard dashboard is fine. But if you need to cross-reference error details (get_error) with project metadata (get_project) or see what release stages were active when the error happened (list_release_stages), this server is essential. It lets you build a narrative around the failure, not just look at a chart.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BugSnag. 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
Debugging shouldn't require 15 clicks and three different tabs.
Today, tracking down a critical bug is a manual nightmare. You start on the main dashboard, filter by project, then you click into the error groups tab to see the top 5 errors. You copy the error ID and paste it into a second tab to check the event details. If you need the trend, you have to switch to a third view and filter by date range. It's slow, error-prone, and you lose your train of thought.
With this MCP server, you just ask your agent. You say, 'What's the status of the Android App error group?' The agent calls `get_error`, pulls the severity, and gives you the answer—including all the metadata—right in the chat. You get the data instantly, without leaving your workflow.
BugSnag MCP Server: Get error details and event logs in context.
You don't have time to manually check every dependency. You don't have to copy the Project ID from one screen and paste it into another. You can ask the agent to list all projects (`list_projects`) and then immediately check the error groups for the top one using `list_errors`. The data flows conversationally.
This server connects the data points. It lets you check the error count for a group (`get_error`) and immediately see if that error is tied to a specific release stage (`list_release_stages`), giving you a complete incident picture in one conversation.
Common Questions About BugSnag MCP
How do I check the current error trends using the get_project_stats tool? +
You ask your agent to use get_project_stats and specify the project ID. It returns error trends and statistics, letting you see how the project's health has changed over time.
What is the difference between list_errors and list_events? +
Use list_errors to see the general, recurring types of errors (the groups). Use list_events when you want a list of specific, individual instances of errors that happened.
Can I list all projects and organizations at once? +
Yes. You first call list_organizations to see all available accounts, and then you use list_projects to get all the applications within a specific organization.
How do I find out the deployment status? +
Use list_release_stages for a project. This tool lists all configured release stages, confirming whether the project is currently in 'Staging' or 'Production'.
How do I use `get_event` to debug a specific crash? +
The get_event tool retrieves full details for one specific error event. You supply the event ID, and the tool gives you the stack trace, occurrence time, and affected users, letting you debug faster than navigating the dashboard.
What's the best way to check organizational visibility using `list_organizations` and `list_projects`? +
First, use list_organizations to see all accessible accounts. Then, use list_projects on the desired organization ID to get all associated projects. This two-step process ensures you cover your entire tech stack visibility.
Do I need to use `list_collaborators` to manage who can see the error data? +
Yes, list_collaborators helps you confirm which team members have access to the BugSnag account. This is crucial for coordinating incident response and ensuring the right people see the stability reports.
If I need to check error frequency, should I use `list_errors` or `get_project_stats`? +
get_project_stats is better for frequency. It generates error trends and overall statistics across a project. While list_errors shows groups, get_project_stats gives you the quantitative performance data you need.
Can I check the stability trend for a project using the agent? +
Yes! Use the get_project_stats tool with the Project ID. Your agent will fetch the error trends and statistics, allowing you to monitor health over time.
How do I list the top errors for my application? +
Simply ask the agent to list_errors and provide the Project ID. It will retrieve the error groups from your BugSnag account, including messages and event counts.
Does the integration allow inspecting a specific error occurrence? +
Yes. Use the get_event tool with the Event ID. It will retrieve the full details for that specific occurrence, which is helpful for deep debugging.
Multi-server workflows that include BugSnag MCP
MCP Servers That Triage Production Errors
Your production app threw 1,200 errors overnight , your AI agent already triaged them, found the commits that caused them, and created prioritized tickets before standup
Turn Crashes Into Sprint Tickets Using MCP
Production errors grouped, impact measured, sprint tickets created, team alerted , turn crashes into actionable tickets without manual triage
Use it with your favorite AI tools
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