A
licenseNot graded
qualityD
maintenanceModel Context Protocol server that standardizes tool discovery, execution, and context management for AI applications.
MIT
AlbumentationsX MCP
by dKosarevsky
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ZenML MCP Serverofficial
AlicenseBqualityBmaintenanceA server implementing Model Context Protocol that enables LLMs to interact with the ZenML platform, providing access to pipeline data, stack information, and the ability to trigger new pipeline runs.4549MIT
TDQS
C2.7/5.0
Scored across 47 tools
Disambiguation2/5
Many tools have overlapping purposes, such as render_preview vs run_first_preview, recommend_recipe vs recommend_pipeline, and plan_augmentation_policy vs plan_augmentation_policy_candidates. While descriptions help, the boundaries between several tools are unclear, leading to potential misselection.
Naming Consistency4/5
All tool names follow a consistent snake_case verb_noun pattern, which is a solid structure. However, the variety of verbs for similar actions (e.g., render vs run, recommend vs plan) and some compound names introduce minor inconsistencies in predictability.
Tool Count2/5
With 47 tools, the server exceeds the 'too many' threshold (25+). The scope could be covered by a smaller, more focused set of tools, and the excessive count suggests over-engineering.
Completeness4/5
The tool surface covers the full workflow: pipeline recommendation, validation, export, preview rendering, feedback collection, tuning sessions, decisions, and environment diagnostics. No obvious gaps exist, though the redundancy in tools masks some minor missing operations like direct update/delete for certain entities.
Maintenance
ActivitySlowing
ResponsivenessNo issues