In-depth architectural comparison of the Name Whisper — ENS Intelligence Layer and Spoken MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Name Whisper — ENS Intelligence Layer
Speech-to-Text · Local stdio
Quality: 49/100 (Fair) | Auth: No auth required
Spoken
Speech-to-Text · Local stdio
Quality: 55/100 (Good) | Auth: API Key required
Verdict Summary: Choose Name Whisper — ENS Intelligence Layer if you need specialized Speech-to-Text tools running via a local process. Choose Spoken if your workspace requires Speech-to-Text integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Name Whisper — ENS Intelligence Layer when:
You need dedicated capabilities in the Speech-to-Text domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
You need dedicated capabilities in the Speech-to-Text domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Freemium).
Primary tools included: Search episodes by text or Spotify/YouTube URL, List complete podcast episode catalogs, Return timestamped Markdown transcripts.
44 MCP tools to search, value, register, trade, and manage ENS names. AI-powered intelligence layer.
Fetch published podcast transcripts as clean Markdown with real speaker names (not "Speaker 1") via the Spoken API. Search episodes, get transcripts, check credit balance.
Name Whisper — ENS Intelligence Layer is categorized under Speech-to-Text and uses a local stdio subprocess. In contrast, Spoken belongs to Speech-to-Text using local stdio subprocess. Select Name Whisper — ENS Intelligence Layer when you need capabilities focused on speech-to-text and Spoken when you require tools for speech-to-text.