- TRENDS
- RELEASES
- HEALTH
- HUMAN
Short answer
How do I track project stability with my AI?
Your AI fetches BugSnag project statistics and release stage data to identify error trends. It compares current health against previous deployment stages to highlight spikes. You get a clear view of how your code changes affect stability.
Where your data lands.
The outcomes of your analysis.
Your agent processes BugSnag data into these specific insights.
TRENDS
Error rate tracking
The AI pulls project stats to show if errors are rising or falling. You see exactly how your stability baseline is shifting.
RELEASES
Deployment impact
By checking release stages, the AI identifies if a specific rollout triggered a spike. You can pin errors to specific versions.
HEALTH
Project status
Your agent summarizes the current state of your application. It turns raw error counts into a readable health summary.
HUMAN
Manual triage
The AI flags the spikes, but you decide which bugs to fix. It points you to the problems so you can start debugging.
The workflow
What your AI does when the data arrives.
Your agent handles the data retrieval so you can focus on the analysis.
Fetch project stats
The agent pulls the latest error metrics and health data for your project.
get_project_statsCheck release stages
It looks through your deployment history to see which versions are active.
list_release_stagesVerify project info
The AI confirms it has the correct project details before running analysis.
get_projectIdentify spikes
The agent compares stats against release stages to find sudden error increases.
get_project_statslist_release_stages
Try it
Copy these to start.
Paste these into your chat to begin.
Starting points
These are opening lines. Replace the project names with your actual BugSnag project names.
BugSnag Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_wRlJMXnuwnGgSbfZxaLiFZlkhMxE4ReZ74cD1g2d/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — BugSnag capabilities are ready to use.
{
"mcpServers": {
"bugsnag-mcp": {
"url": "https://edge.vinkius.com/vk_preview_wRlJMXnuwnGgSbfZxaLiFZlkhMxE4ReZ74cD1g2d/mcp"
}
}
}Show me the error statistics for the Production project.
Compare the stability of the current release stage against the previous one.
Are there any error spikes in the Mobile App project right now?
List all release stages for the Web Dashboard project and summarize the health.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect BugSnag once, then ask.
One connection gives your agent access to your BugSnag data. Your login stays encrypted on our side.
Connect BugSnag to your AIFAQ
How this task behaves.
- 01
Can the AI fix bugs in BugSnag?
No. The AI only reads project stats and release data. You must handle the actual bug fixes and status changes yourself.
- 02
Can the AI delete error reports?
No. The available tools only allow the AI to fetch and list data. It cannot modify or delete anything in BugSnag.
- 03
Does the AI see all my BugSnag projects?
The AI only accesses the specific projects you ask it to look at.
- 04
Can I use this with Cursor or Claude?
Yes. This MCP works with any compatible client like Cursor, Claude, or Windsurf.
- 05
How does the AI get the latest data?
The AI fetches fresh information from BugSnag every time you send a prompt.
More questions about BugSnag? See everything the BugSnag Connector can do
Connect BugSnag to Claude, Cursor, ChatGPT & more
