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@@ -308,6 +308,7 @@ Access and analyze application monitoring data. Enables AI models to review erro
 - [@modelcontextprotocol/server-raygun](https://github.com/MindscapeHQ/mcp-server-raygun) 📇 ☁️ - Raygun API V3 integration for crash reporting and real user monitoring
 - [metoro-io/metoro-mcp-server](https://github.com/metoro-io/metoro-mcp-server) 🎖️ 🏎️ ☁️ - Query and interact with kubernetes environments monitored by Metoro
 - [grafana/mcp-grafana](https://github.com/grafana/mcp-grafana) 🎖️ 🐍 🏠 ☁️ - Search dashboards, investigate incidents and query datasources in your Grafana instance
+- [pydantic/logfire-mcp](https://github.com/pydantic/logfire-mcp) 🎖️ 🐍 ☁️ - Provides access to OpenTelemetry traces and metrics through Logfire
 - [seekrays/mcp-monitor](https://github.com/seekrays/mcp-monitor) 🏎️ 🏠 - A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.（support CPU、Memory、Disk、Network、Host、Process）
 - [hyperb1iss/lucidity-mcp](https://github.com/hyperb1iss/lucidity-mcp) 🐍 🏠 - Enhance AI-generated code quality through intelligent, prompt-based analysis across 10 critical dimensions from complexity to security vulnerabilities