A
licenseNot graded
qualityC
maintenanceEnables compatible AI clients to list, read, validate, preview, and apply local code changes in existing R and Python scripts through five MCP tools, without calling an AI model itself.
MIT
Contaminated Land MCP
by ghiaog123
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TDQS
A4.4/5.0
Scored across 4 tools
Disambiguation5/5
Each tool targets a clearly distinct action and resource: listing criteria sets, searching guidance, screening lab results, and drafting a report section. There is no overlapping purpose or ambiguity in selection.
Naming Consistency5/5
All tool names use a consistent snake_case verb_noun pattern (list_criteria_sets, search_guidance, screen_lab_results, draft_section). The verb-first convention is uniform across the set.
Tool Count4/5
Four tools is lean but each covers a distinct, substantial stage of the assessment workflow without filler. It is slightly under a full-featured toolset but appropriate for a focused analysis server.
Completeness4/5
The surface covers criteria discovery, guidance search, screening, and drafting, which form the core contaminated-land assessment lifecycle. Minor auxiliary operations such as managing site metadata or retrieving full documents are absent but not critical.
Maintenance
ActivityMaintained
ResponsivenessNo issues