QuillHub vs Spoken — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
QuillHub vs Spoken
In-depth architectural comparison of the QuillHub 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
QuillHub
Speech-to-Text · Remote HTTP/SSE
Quality: 52/100 (Good) | Auth: No auth required
Spoken
Speech-to-Text · Local stdio
Quality: 51/100 (Good) | Auth: API Key required
Verdict Summary: Choose QuillHub if you need specialized Speech-to-Text tools running via a hosted cloud SSE transport. 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?
Q
Choose QuillHub when:
You need dedicated capabilities in the Speech-to-Text domain.
You prefer remote streaming HTTP/SSE 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.
Full-text search across meetings in a workspace: titles, summaries, decisions, action items and transcript text. Morphological matching in English and Russian.
list_transcriptions
Paginated list of recordings with summary, key theses, decisions, action items, participants, project. Filter by text, date range, workspace, project.
get_transcription
One recording in the format you need: `summary`, `text`, `segments`, `dialog` (who said what), `paragraphs`, `chapters`, `subtitles`. Supports time windows for long calls.
get_person_speech
Timestamped quotes from one person across every meeting, with filters by date and project.
find_subjects
Find tracked subjects (people, deals, projects, clients, candidates, custom types) with their AI-maintained note, open commitments and mention counts.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
QuillHub is categorized under Speech-to-Text and uses a remote streaming HTTP/SSE transport. In contrast, Spoken belongs to Speech-to-Text using local stdio subprocess. Select QuillHub when you need capabilities focused on speech-to-text and Spoken when you require tools for speech-to-text.
Meeting transcripts for AI agents: search calls, read who said what, transcribe files and links.
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.