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OpenTelemetry MCP Instrumentation

This library allows tracing of agentic workflows implemented with MCP framework mcp python sdk.

Installation

pip install opentelemetry-instrumentation-mcp

Example usage

from opentelemetry.instrumentation.mcp import McpInstrumentor

McpInstrumentor().instrument()

Privacy

By default, this instrumentation logs prompts, completions, and embeddings to span attributes. This gives you a clear visibility into how your LLM application tool usage is working, and can make it easy to debug and evaluate the tool usage.

However, you may want to disable this logging for privacy reasons, as they may contain highly sensitive data from your users. You may also simply want to reduce the size of your traces.

To disable logging, set the TRACELOOP_TRACE_CONTENT environment variable to false.

TRACELOOP_TRACE_CONTENT=false

Diagnostics

A failure inside this instrumentation never reaches your application: the traced call still goes out, and its result -- or its own exception -- is what the caller sees. Such a failure is logged at WARNING on the opentelemetry.instrumentation.mcp logger, with the stack at DEBUG.

Some of these failures sit on a per-message path (the stream writer), so a persistent one logs a line per MCP message. To quiet it without touching the rest of your logging:

import logging

logging.getLogger("opentelemetry.instrumentation.mcp").setLevel(logging.ERROR)

Metadata

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