Automatically instruments Python AI agents with OpenTelemetry for comprehensive tracing, metrics, and logs.
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This MCP server seamlessly integrates OpenTelemetry-based tracing, metrics, and logs into Python AI agents, eliminating manual instrumentation effort. It supports popular AI frameworks like LlamaIndex, LangGraph, CrewAI, and the raw OpenAI SDK. The tool provides functionalities to either fully instrument an agent file, creating a backup, or to audit a file for missing instrumentation without making changes, making it compatible with various MCP-enabled AI coding assistants such as Claude Desktop, Cursor, and Windsurf.
Key Features
01Offers `check_instrumentation` to audit files without modification
02Compatible with major MCP-enabled AI assistants like Claude Desktop and Cursor
03Provides `instrument_agent` to modify and backup agent files
04Automatic OpenTelemetry instrumentation for Python AI agents
050 GitHub stars
06Supports LlamaIndex, LangGraph, CrewAI, and OpenAI SDK frameworks
Use Cases
01Adding zero-effort observability (tracing, metrics, logs) to Python AI agents
02Automating the instrumentation process for AI agent development workflows
03Auditing existing AI agent code for missing observability hooks
