logfire mcp
pipStandardThe Logfire MCP server provides observability for AI agents by exposing tools to ingest, query, and analyze telemetry data. It connects to Logfire's API for log management and integrates with various data sources. Developers use it to monitor application performance, debug issues, and gain insights from structured and unstructured telemetry data.
141240Updated 1 month ago
Overview
The Logfire MCP server provides observability for AI agents by exposing tools to ingest, query, and analyze telemetry data. It connects to Logfire's API for log management and integrates with various data sources. Developers use it to monitor application performance, debug issues, and gain insights from structured and unstructured telemetry data.
Installation
1Install the package
pip
pip install logfire-mcp2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"pydantic-logfire-mcp-github": {
"command": "uvx",
"args": [
"pip install logfire-mcp"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from logfire mcp?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
- API key for logfire mcp
Configuration
API Key Required
This server requires an API key from logfire mcp. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| LOGFIRE_MCP_API_KEY | Yes | Your logfire mcp API key |
Usage Examples
List Resources
"What resources are available in logfire mcp?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in logfire mcp"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in logfire mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with logfire mcp
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