A
licenseNot graded
qualityD
maintenanceEnables AI clients to submit files, hashes, and URLs for malware analysis, retrieve results, search across AssemblyLine indices, and triage alerts, all through the Model Context Protocol.
MIT
scamcheck
by Ctrlanmol
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TDQS
A4.1/5.0
Scored across 6 tools
Disambiguation5/5
Each tool targets a distinct action and input type: check_number for phone numbers, check_message for message verdicts, check_url for URL metadata, extract_entities for indicator extraction, open_case for evidence cases, and scamcheck_info for server metadata. Although check_message and extract_entities both accept message text, their outputs and use cases are clearly differentiated in the descriptions.
Naming Consistency4/5
Five of six tools follow a clear verb_noun pattern (check_number, extract_entities, open_case, check_message, check_url). The outlier scamcheck_info is a noun-based info tool, which is a minor deviation but still readable and predictable.
Tool Count5/5
Six tools is well-scoped for an offline scam analysis server. Each tool covers a necessary capability—message analysis, number check, URL check, entity extraction, case opening, and info—without redundancy or bloat.
Completeness4/5
The core scam-analysis surface is complete for messages, phone numbers, URLs, and indicator extraction. However, case management is a dead end in the MCP layer: open_case exists but there is no tool to retrieve, list, or export cases (those functions are only in the CLI).
Maintenance
ActivityMaintained
ResponsivenessNo issues