A
licenseNot graded
qualityC
maintenanceAn MCP server that enables AI agents to observe and interact with trackio experiment tracking, providing tools for managing ML experiments through natural language.
3
MIT
pdml-agent
Related Servers
Alternatives to pdml-agent
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceThis server enables agents to identify users and organizations, inspect versioned datasets and model lineage, start training jobs, run and read evaluations, verify deployments, and execute typed workflows through authenticated MCP endpoints.12Apache 2.0
- AlicenseBqualityDmaintenanceA standalone MCP server that brings complete data science capabilities to AI assistants, enabling them to load data, train models, and track experiments through natural language.301MIT
- AlicenseAqualityAmaintenanceA Model Context Protocol server that enables LLMs to interact with MLflow tracking servers, allowing users to query experiments, analyze runs, compare metrics, manage the model registry, and promote models through natural language.40134 PyPI15MIT
- FlicenseNot gradedqualityCmaintenanceMCP server to dispatch Argo WorkflowTemplates according to pipeline configurations, supporting multiple pipelines, authentication, and remote access.1-
- AlicenseAqualityAmaintenanceMCP server for Coalesce that manages nodes, pipelines, environments, jobs, and runs, and enables project validation, DDL/DML preview, deployment planning, and cloud environment application.100195 npm2MIT
TDQS
A4.2/5.0
Scored across 6 tools
Disambiguation5/5
Each tool has a clearly distinct responsibility: listing experiments, retrieving configs, fetching metrics, comparing runs, searching logic definitions, and executing runs. There is no overlap in purpose, and run_experiment is the only side-effecting tool.
Naming Consistency5/5
All six tool names follow a consistent snake_case verb_noun pattern (list_experiments, get_results, compare_runs, etc.). The verbs are semantically appropriate and predictable.
Tool Count5/5
Six tools is well-scoped for an experiment management agent: discovery, configuration, results, comparison, domain search, and execution. Each tool earns its place without redundancy.
Completeness4/5
The tool surface covers the full core workflow: plan/execute a run, list runs, inspect configuration and metrics, and compare runs. Missing operations like deleting or cancelling runs are not obvious gaps for immutable experiment records.
Maintenance
ActivitySlowing
ResponsivenessNo issues