A
licenseB
qualityF
maintenanceA Model Context Protocol server that enables AI assistants to query Prometheus metrics, discover available data, and analyze system performance through natural language interactions.
5
103 npm
MIT
MCP Server for Coroot
by jamesbrink
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TDQS
B3.2/5.0
Scored across 61 tools
Disambiguation4/5
Most tools have distinct purposes by resource and action, though the multiple overview tools (applications, nodes, traces, risks) and the get_application* family (logs, traces, profiling, RCA) could cause some confusion. However, each returns different data types, so boundaries are fairly clear.
Naming Consistency5/5
All tools follow a consistent snake_case verb_noun pattern (get_, list_, create_, update_, delete_, configure_, test_, health_check). Even the outlier health_check fits the pattern of a verb-only command. Naming is highly predictable.
Tool Count1/5
With 61 tools, this far exceeds the calibration threshold for extreme mismatch (50+). While the server covers a broad observability domain, the sheer number will overwhelm agent tool selection and increase the chance of misselection.
Completeness4/5
The tool surface covers CRUD for most resources (projects, integrations, dashboards, API keys, categories) and provides extensive data access (applications, nodes, incidents, traces, logs, profiling). Minor gaps exist (no update_user, delete_role, delete_inspection), but these are not critical for core workflows.
Maintenance
ActivityMaintained
ResponsivenessNo issues