
Logfire
OfficialConnects AI systems to Pydantic Logfire for querying and analyzing OpenTelemetry traces and metrics. Provides remote access to observability data without local setup.
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.
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
About Logfire
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
Logfire is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Pydantic Logfire MCP Server
This repository contains a Model Context Protocol (MCP) server with tools that can access the OpenTelemetry traces and metrics you've sent to Pydantic Logfire.
Remote MCP Server (Recommended)
Pydantic Logfire provides a hosted remote MCP server that you can use instead of running this package locally. This is the easiest way to get started with the Logfire MCP server.
To use the remote MCP server, add the following configuration to your MCP client.
Choose the endpoint that matches your Logfire data region:
- US region —
logfire-us.pydantic.dev - EU region —
logfire-eu.pydantic.dev
For US region (logfire-us.pydantic.dev):
{
"mcpServers": {
"logfire": {
"type": "http",
"url": "https://logfire-us.pydantic.dev/mcp"
}
}
}
For EU region (logfire-eu.pydantic.dev):
{
"mcpServers": {
"logfire": {
"type": "http",
"url": "https://logfire-eu.pydantic.dev/mcp"
}
}
}
[!NOTE] The remote MCP server handles authentication automatically through your browser. When you first connect, you'll be prompted to authenticate with your Pydantic Logfire account.
[!NOTE] If you want to run logfire-mcp locally, check the OLD_README.md file.
Configuration with well-known MCP clients
The examples below use the US region endpoint. Replace the URL with https://logfire-eu.pydantic.dev/mcp if you are using the EU region.
Configure for Cursor
Create a .cursor/mcp.json file in your project root:
{
"mcpServers": {
"logfire": {
"type": "http",
"url": "https://logfire-us.pydantic.dev/mcp"
}
}
}
Configure for Claude Code
Run the following command:
claude mcp add logfire --transport http https://logfire-us.pydantic.dev/mcp
Configure for Claude Desktop
Add to your Claude settings:
{
"mcpServers": {
"logfire": {
"type": "http",
"url": "https://logfire-us.pydantic.dev/mcp"
}
}
}
Configure for Cline
Add to your Cline settings in cline_mcp_settings.json:
{
"mcpServers": {
"logfire": {
"type": "http",
"url": "https://logfire-us.pydantic.dev/mcp"
}
}
}
Configure for VS Code
Make sure you enabled MCP support in VS Code.
Create a .vscode/mcp.json file in your project's root directory:
{
"servers": {
"logfire": {
"type": "http",
"url": "https://logfire-us.pydantic.dev/mcp"
}
}
}
Configure for Zed
Create a .zed/settings.json file in your project's root directory:
{
"context_servers": {
"logfire": {
"type": "http",
"url": "https://logfire-us.pydantic.dev/mcp"
}
}
}
Sandboxed Environments
If browser-based authentication is not available (e.g. in sandboxed environments), generate an API key with at least the project:read scope from your organization or project settings, then use it as a Bearer token:
{
"mcpServers": {
"logfire": {
"type": "http",
"url": "https://logfire-us.pydantic.dev/mcp",
"headers": {
"Authorization": "Bearer <your-logfire-api-key>"
}
}
}
}
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