Logfire▌
by pydantic
Logfire is a data observability platform for querying, analyzing, and monitoring OpenTelemetry traces, errors, and metri
Enables AI systems to query and analyze OpenTelemetry traces and metrics through Logfire's API, providing tools for finding exceptions, investigating errors, and running custom SQL queries against observability data with automatic authentication.
best for
- / Developers debugging production applications
- / DevOps teams analyzing system performance
- / SREs investigating incidents and outages
- / Teams using OpenTelemetry for observability
capabilities
- / Query OpenTelemetry traces and metrics
- / Find exceptions in application logs
- / Investigate errors and performance issues
- / Run custom SQL queries against observability data
- / Analyze distributed tracing data
- / Access metrics and monitoring data
what it does
Connects AI systems to Pydantic Logfire for querying and analyzing OpenTelemetry traces and metrics. Provides remote access to observability data without local setup.
about
Logfire is an official MCP server published by pydantic that provides AI assistants with tools and capabilities via the Model Context Protocol. Logfire is a data observability platform for querying, analyzing, and monitoring OpenTelemetry traces, errors, and metri It is categorized under developer tools, analytics data.
how to install
You can install Logfire in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Logfire is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Logfire is a data observability platform for querying, analyzing, and monitoring OpenTelemetry traces, errors, and metri
TL;DR: Connects AI systems to Pydantic Logfire for querying and analyzing OpenTelemetry traces and metrics. Provides remote access to observability data without local setup.
What it does
- Query OpenTelemetry traces and metrics
- Find exceptions in application logs
- Investigate errors and performance issues
- Run custom SQL queries against observability data
- Analyze distributed tracing data
- Access metrics and monitoring data
Best for
- Developers debugging production applications
- DevOps teams analyzing system performance
- SREs investigating incidents and outages
- Teams using OpenTelemetry for observability
Highlights
- Remote — zero setup required
- Automatic authentication through browser
- Multi-region support (US/EU)