MCP server for querying and analyzing TensorBoard event files, enabling AI agents to extract scalar data, statistics, and correlations without a running TensorBoard server.
MCP server for AgentMark. Exposes the full AgentMark API to AI editors: list traces and spans, manage datasets, write scores, run experiments, manage apps, deployments, environments, and annotation queues.
An MCP server that enables AI agents to observe and interact with trackio experiment tracking, providing tools for managing ML experiments through natural language.
Enables external agents to monitor and control ML training runs via 35 MCP tools. Covers training status, checkpoints, experiments, recovery, and dashboard configuration.
Model Context Protocol server for Verlon AI that exposes gates, logs, recommendations, and experiments as MCP tools, enabling coding agents to inspect and manage AI infrastructure natively.