glin-profanity-mcp
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TDQS
Scored across 24 tools
Most tools target distinct moderation operations, but check_profanity, analyze_context, and validate_content all assess text safety with subtle differences, while batch_check, stream_check, and stream_batch have overlapping batch/stream semantics. Descriptions help distinguish them, but an agent could misselect without careful reading.
The set is mostly consistent snake_case verb_noun naming (check_profanity, censor_text, detect_obfuscation, redact_pii). Minor deviations like batch_check, stream_check, and stream_batch reverse or blur the verb pattern but remain readable.
At 24 tools the server is heavy for a profanity-checking MCP, expanding into PII, secrets, prompt injection, streaming, and user risk profiles. Each tool seems purposeful, but the surface is broad enough to feel borderline over-scoped for the core domain.
Coverage is broad: detection, censorship, alternatives, context, validation, obfuscation, streaming, languages, user risk profiles, prompt injection, secrets, and reversible PII redaction. Minor gaps exist around managing custom regex patterns and redacting secrets, but core moderation workflows are well supported.