Metadata-Version: 2.4 Name: opentelemetry-instrumentation-mcp Version: 0.50.1 Summary: OpenTelemetry mcp instrumentation License: Apache-2.0 Author: Felix George Author-email: felix.george@ibm.com Requires-Python: >=3.10,<4 Classifier: License :: OSI Approved :: Apache Software License Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Programming Language :: Python :: 3.13 Classifier: Programming Language :: Python :: 3.14 Provides-Extra: instruments Requires-Dist: opentelemetry-api (>=1.38.0,<2.0.0) Requires-Dist: opentelemetry-instrumentation (>=0.59b0) Requires-Dist: opentelemetry-semantic-conventions (>=0.59b0) Requires-Dist: opentelemetry-semantic-conventions-ai (>=0.4.13,<0.5.0) Project-URL: Repository, https://github.com/traceloop/openllmetry/tree/main/packages/opentelemetry-instrumentation-mcp Description-Content-Type: text/markdown OpenTelemetry MCP Instrumentation This library allows tracing of agentic workflows implemented with MCP framework [mcp python sdk](https://github.com/modelcontextprotocol/python-sdk). ## Installation ```bash pip install opentelemetry-instrumentation-mcp ``` ## Example usage ```python 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`. ```bash TRACELOOP_TRACE_CONTENT=false ```