Logfire is a Monitoring MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent access OpenTelemetry traces and metrics via Pydantic Logfire. Install in 1 minute with mcpizy install logfire.
Monitoring
Access OpenTelemetry traces and metrics via Pydantic Logfire. Debug production issues fast.
mcpizy install logfirepip install logfire-mcpCrash reporting and real user monitoring data. Track errors, performance, and user sessions.
Real-time production context — logs, metrics, traces. SRE intelligence for incident response.
Navigate OpenTelemetry resources, investigate incidents, and query observability data.
Query metrics and alerts
If Logfire doesn't fit your stack, these Monitoring MCP servers solve similar problems.
The Logfire MCP server is an Monitoring Model Context Protocol server that lets Claude Code, Cursor, Windsurf, VS Code with Copilot, and other MCP-compatible AI agents access OpenTelemetry traces and metrics via Pydantic Logfire. It exposes Logfire's capabilities as tools the AI can call directly from your editor or CLI.
The fastest way is the MCPizy CLI: run `mcpizy install logfire` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `pip install logfire-mcp` and restarting Claude Code.
Yes. The Logfire MCP server is free and open source (see the GitHub repository linked on this page). You may still need a Logfire account or API key to connect the server to the underlying service, but the MCP layer itself has no MCPizy subscription cost.
Yes. Any MCP-compatible client works — including Claude Code, Claude Desktop, Cursor (via `.cursor/mcp.json`), Windsurf, VS Code with Copilot Chat, and custom agents built on the MCP SDK. The same install command targets all of them; only the config file path differs.
Once installed, your AI agent can access OpenTelemetry traces and metrics via Pydantic Logfire directly inside your conversation. Typical use cases include asking Claude Code or Cursor to run Logfire operations, inspect results, chain Logfire with other MCP servers (see our Workflow Recipes), and automate repetitive monitoring tasks without leaving your editor.