A
licenseNot graded
qualityC
maintenanceEnables AI-powered speech-to-text transcription of audio files and URLs using OpenAI Whisper, with support for 50+ languages and micropayments in USDC on Base via the x402 protocol.
20 npm
MIT
transcribe-mcp
by Soboljem
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TDQS
A4.4/5.0
Scored across 3 tools
Disambiguation5/5
Each tool serves a completely distinct role: transcribe_url handles audio-to-text, find_dead_air post-processes timings to find silence, and shop_info provides pricing metadata. There is zero overlap in purpose.
Naming Consistency4/5
Tool names follow a clear verb_noun pattern (transcribe_url, find_dead_air, shop_info) with snake_case. shop_info deviates slightly from the domain-action style of the others, but it is still predictable and readable.
Tool Count5/5
Three tools is perfectly scoped for this server: a core action (transcribe), a derived analysis (find_dead_air), and informational helper (shop_info). No tool feels extraneous, and the count matches the narrow purpose well.
Completeness4/5
The tool surface covers the key transcription workflow and provides a helpful cost info tool. An obvious gap is the lack of an update or delete operation for transcripts, but for a consumption-oriented service this is reasonable. The surface feels complete for its intended use.
Maintenance
ActivitySlowing
ResponsivenessNo issues