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---
name: debug
description: Use Logfire traces to investigate errors and debug production issues
---
# /debug
Use the Logfire MCP server to investigate errors and debug issues using real trace data.
## Prerequisites
The Logfire MCP server must be connected (this plugin configures it automatically). The user must have run `logfire auth` or set `LOGFIRE_TOKEN` for their project.
## Workflow
### When the user reports an error in a specific file
1. Call the `find_exceptions_in_file` MCP tool with the file path to get the 10 most recent exceptions from that file.
2. Show the user the exceptions found - include the exception type, message, and when it occurred.
3. If a specific exception is relevant, use `arbitrary_query` to dig deeper into the surrounding trace context.
4. Suggest a fix based on the exception details and trace data.
### When the user asks about general issues or wants to explore
1. Call `get_logfire_records_schema` to understand the available columns and tables.
2. Use `arbitrary_query` to run SQL queries against the OpenTelemetry data. Common queries:
- Recent errors: `SELECT start_timestamp, message, attributes FROM records WHERE level = 'error' ORDER BY start_timestamp DESC LIMIT 20`
- Slow operations: `SELECT span_name, duration, start_timestamp FROM records WHERE duration > interval '1 second' ORDER BY duration DESC LIMIT 20`
- Specific endpoint issues: `SELECT * FROM records WHERE attributes->>'http.route' = '/api/users' AND level = 'error' ORDER BY start_timestamp DESC LIMIT 10`
3. Present findings and suggest fixes.
### When the user wants to share a trace
1. Use the `logfire_link` MCP tool to generate a shareable URL for a specific trace.
2. Share the link with the user.
## Output format
When presenting debug findings:
- Lead with the most likely root cause
- Include relevant trace/span data as evidence
- Suggest concrete code changes to fix the issue
- Offer a Logfire UI link if the user wants to explore further