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@mlflow/claude-code

Skill Development Solid
Works inClaude Code
Solid Scanned — metadata only

Integrates Claude's agentic capabilities with MLflow's tracing infrastructure, enabling teams to monitor, debug, and optimize LLM-powered code generation wor…

Claude Code and Claude Agent SDK integration package for MLflow Tracing

28,553 starsApache-2.0 (commercial OK)FreeQuick setup

Integrates Claude's agentic capabilities with MLflow's tracing infrastructure, enabling teams to monitor, debug, and optimize LLM-powered code generation workflows at production scale without custom instrumentation.

ML engineering teams building Claude-based code agents who need observability into model behavior and cost tracking.

Claude Code Claude Cowork Claude Chat

https://www.npmjs.com/package/@mlflow/claude-code

By GitHub Actions

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
npx @mlflow/claude-code

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me trace Claude code generation requests through MLflow to debug AI model outputs
CostFree

Trust Signals Auto-scanned

Stars28,553Contributors1254Last updated2026-10-27LicenseApache-2.0 (OK for commercial use)Weekly downloads370Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-27 · scanner v1

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 28,176 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 28,176 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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