The Logfire MCP Server allows LLMs to retrieve and analyze OpenTelemetry traces and metrics data, providing insights into application telemetry. You can:

• Find Exceptions: Retrieve exception counts grouped by file using find_exceptions

• Get Exception Details: Access detailed trace information about exceptions in specific files with find_exceptions_in_file

• Run Custom Queries: Execute arbitrary SQL queries on your OpenTelemetry data via arbitrary_query

• Access Schema: View the OpenTelemetry schema to help with query construction using get_logfire_records_schema

The server supports analysis of distributed traces and metrics for time periods up to 7 days.

Enables access and analysis of OpenTelemetry traces and metrics data stored in Logfire, with tools for finding exceptions, retrieving trace information, and executing SQL queries against telemetry data.

Integrates with Logfire, a Pydantic service, to retrieve and analyze application telemetry data through the Logfire APIs using read tokens from the Logfire project settings.

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Logfire MCP Server find the 10 most recent exceptions in app.py from the last hour"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.