logfire-mcp
Logfire MCP server for OpenTelemetry trace analysis. logfire-mcp is a Model Context Protocol (MCP) server maintained by pydantic. It connects to MCP-compatible clients such as Claude Desktop, Cursor, Cline, and other agents that speak the protocol. It exposes 4 tools, including find_exceptions, find_exceptions_in_file, arbitrary_query and get_logfire_records_schema, that an agent can call directly. It is categorized under Tool/Observability and AI/LLM.
What is this MCP
This MCP server enables LLMs to access and analyze OpenTelemetry traces and metrics from Logfire, providing tools for exception tracking, trace analysis, and custom SQL queries.
How to use this MCP
Configure the server with a Logfire read token, then integrate with MCP clients like Cursor, Claude Desktop, or Cline to analyze traces through natural language queries.
What this MCP can be used for
- Identifying exception patterns in distributed systems
- Debugging errors by analyzing trace data
- Running custom analytics on telemetry data
- Providing LLMs with operational context about application performance
AIMCP authority
DR and traffic signal for the AIMCP public domain.
Frequently asked questions
What is the logfire-mcp MCP server?
logfire-mcp is a Model Context Protocol server from pydantic. It lets MCP-compatible AI clients call its tools over a standard interface, so agents like Claude, Cursor, and Cline can use it without custom integration.
How do I connect logfire-mcp to my AI client?
Add logfire-mcp to your client's MCP configuration using the stdio or SSE connection shown in the usage examples on this page, then restart the client to load the server.
What tools does logfire-mcp provide?
logfire-mcp provides 4 tools: find_exceptions, find_exceptions_in_file, arbitrary_query and get_logfire_records_schema.
Is logfire-mcp free to use?
logfire-mcp is listed on AIMCP for free. Any API keys or accounts required by the underlying service are set by its provider.
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