logfire-mcp
用于OpenTelemetry追踪分析的Logfire MCP服务器. 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.
该MCP是什么
此MCP服务器使LLM能够访问和分析来自Logfire的OpenTelemetry追踪数据与指标，提供异常追踪、追踪分析和自定义SQL查询工具。
如何使用该MCP
使用Logfire读取令牌配置服务器，然后与Cursor、Claude Desktop或Cline等MCP客户端集成，通过自然语言查询分析追踪数据。
该MCP的用途
- 识别分布式系统中的异常模式
- 通过分析追踪数据调试错误
- 对遥测数据运行自定义分析
- 为LLM提供应用程序性能的操作上下文
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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