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
1 maintainer
Metadata
1 maintainer
Release files for overmind-instrumentation-mcp 0.53.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| overmind_instrumentation_mcp-0.53.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / overmind_instrumentation_mcp-0.53.0-py3-none-any.whl
| Download URL | overmind_instrumentation_mcp-0.53.0-py3-none-any.whl |
|---|---|
| Size | 10.4 kB |
| Tags | Python 3 |
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