Comet ML MCP Server

Connect your Comet ML account to any AI agent and take full control of your machine learning lifecycle through natural conversation.

What you can do

• Experiment Tracking — List and audit machine learning runs to inspect performance metadata, tags, and live execution statuses
• Numeric Metric Auditing — Retrieve high-precision numeric endpoints mapping metrics generated dynamically during your training loops
• Parameter Inspection — Extract explicit ML properties like learning rates and configurations logged to specific experiment keys
• Project & Workspace Navigation — Navigate through organizational namespaces and identify exactly where your ML research resides
• Run Metadata Analysis — Discovered disconnected physical limits parsing explicit run structures, timing, and structural configurations

How it works

1. Subscribe to this server
2. Enter your Comet ML API Key (found in Account Settings > API Keys)
3. Start auditing your ML experiments from Claude, Cursor, or any MCP-compatible client

Who is this for?

• Data Scientists — track and compare model metrics across experiments without leaving the research flow
• ML Engineers — audit experiment parameters and verify training configurations using natural language
• AI Researchers — navigate through multiple workspaces and projects to organize complex ML trials
• MLOps Teams — monitor active model evaluations and verify experiment completion statuses in real-time