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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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  1. Servers
  2. /Monitoring
  3. /pydantic/logfire-mcp
MonitoringOfficialPython
P

pydantic/logfire-mcp

[!IMPORTANT] > This repository is archived. The STDIO MCP server in this package is no longer being updated. > We now have a remote MCP server, which allows us to iterate faster on tools and provide a better experience. If you have any questions, reach out to us on Slack or email us at engineering@pydantic.dev.

0 starsUpdated Aug 30, 2026
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Overview

[!IMPORTANT] > This repository is archived. The STDIO MCP server in this package is no longer being updated. > We now have a remote MCP server, which allows us to iterate faster on tools and provide a better experience. If you have any questions, reach out to us on Slack or email us at engineering@pydantic.dev.

Capabilities

  • get_traces_and_spans

    Query recent traces and spans — Ask your assistant to retrieve recent traces and their spans from Logfire using `get_traces_and_spans`.

  • get_spans_by_trace_id

    Find spans by trace ID — Use `get_spans_by_trace_id` to fetch all spans belonging to a specific trace for detailed inspection.

  • execute_sql

    Execute arbitrary SQL queries — Run custom SQL against your Logfire data with `execute_sql` to analyze metrics, logs, and spans.

Installation

https://logfire.pydantic.dev/docs/how-to-guides/mcp

Configuration

{
  "mcpServers": {
    "logfire-mcp": {
      "url": "https://logfire.pydantic.dev/docs/how-to-guides/mcp"
    }
  }
}
Add to Cursor

Paste into ~/.cursor/mcp.json or .cursor/mcp.json

Tags

  • observability-incident
  • monitoring
  • devops-infrastructure
  • log-management
  • analytics
  • awesome-list

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