{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/4"}],"enrichment":{"capability":"Auto-instruments MCP tool calls to propagate OpenTelemetry context between the caller and the tool execution, enabling distributed tracing across MCP interactions.","skillfed_tags":["observability","distributed-tracing","mcp"],"use_cases":["Connect traces from an LLM application into MCP tool executions for end-to-end observability.","Debug MCP tool call latency and failures by viewing them in the context of the parent request trace.","Correlate MCP tool behavior with upstream application logic in a distributed tracing platform.","Monitor MCP tool call patterns and performance metrics through OpenTelemetry-compatible backends."],"what_it_does":"This package adds OpenTelemetry instrumentation to the MCP Python SDK, enabling distributed tracing by propagating trace context from the caller into MCP tool executions. It integrates with the OpenInference framework and observability platforms like Arize Phoenix and Arize AX. Currently, it focuses on context propagation rather than generating new telemetry data itself\u2014the primary use case is connecting existing spans across MCP boundaries so that tool calls and their execution can be viewed as part of a single trace.\n\nThe package depends on openinference-instrumentation, opentelemetry-api, opentelemetry-instrumentation, and wrapt. It is marked as Production/Stable and actively maintained, with support for modern Python versions.","worth_installing":"Yes, if you are already using MCP with Python and need distributed tracing or observability. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe addition. Install it only if you have an OpenTelemetry collector or observability platform in place to consume the context propagation it enables."},"id":"openinference-instrumentation-mcp","links":{"html":"https://skillfed.io/packages/openinference-instrumentation-mcp","md":"https://skillfed.io/packages/openinference-instrumentation-mcp.md","pypi":"https://pypi.org/project/openinference-instrumentation-mcp/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-01","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"openinference-instrumentation-mcp","python_support":"supports_current","summary":"OpenInference MCP Instrumentation"},"popularity":{"monthly_downloads":192976,"position":9854,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.0.5"}