# Logfire

> Use this tool when you need to analyze application performance, debug issues, or gain operational insights by accessing OpenTelemetry traces and metrics through a simple API interface. It solves problems related to exception handling, error analysis, and custom querying of observability data, providing outputs such as trace data, schema information, and query results. Use Logfire to enhance AI-assisted debugging, performance investigation, and data analysis capabilities.

Canonical page: https://skillsregistry.net/skills/pydantic-logfire-opentelemetry  
JSON: https://api.skillsregistry.net/v1/skills/pydantic-logfire-opentelemetry

## Description

Logfire MCP Server provides AI assistants with access to OpenTelemetry traces and metrics through Logfire's API. Built by the Pydantic team, it enables LLMs to query application telemetry data, analyze distributed traces, and perform custom SQL queries on observability data with automatic token-based authentication. The server exposes tools for finding exceptions, analyzing errors in specific files, running arbitrary queries against trace data, and retrieving schema information - making it particularly valuable for debugging applications, investigating performance issues, and gaining insights from operational data without leaving the AI assistant conversation.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pydantic-logfire-opentelemetry)
- **Repository:** <https://github.com/pydantic/logfire-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pydantic-logfire-opentelemetry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pydantic-logfire-opentelemetry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pydantic-logfire-opentelemetry/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt