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  1. Home
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  3. MCP Listen
  4. vs QuillHub
Side-by-Side Model Context Protocol Comparison

MCP Listen vs QuillHub

In-depth architectural comparison of the MCP Listen and QuillHub 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

MCP Listen
Speech-to-Text · Local stdio
Quality: 56/100 (Good) | Auth: No auth required
QuillHub
Speech-to-Text · Remote HTTP/SSE
Quality: 52/100 (Good) | Auth: No auth required
Verdict Summary: Choose MCP Listen if you need specialized Speech-to-Text tools running via a local process. Choose QuillHub if your workspace requires Speech-to-Text integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

MCP Listen logo

Choose MCP Listen 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).
  • Primary tools included: list_audio_devices, capture_audio, voice_query.
Explore MCP Listen Details
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).
  • Primary tools included: search_meeting_transcripts, list_transcriptions, get_transcription.
Explore QuillHub Details

Feature & Specification Comparison

Specification
MCP Listen logo
MCP Listen
Speech-to-Text
Q
QuillHub
Speech-to-Text
SummaryGive your AI agents the ability to listen. Microphone capture and speech-to-text.Meeting transcripts for AI agents: search calls, read who said what, transcribe files and links.
Category & ScopeSpeech-to-TextSpeech-to-Text
Quality signal

Tools & Capabilities Breakdown

MCP Listen Tools (3)

list_audio_devices
List available microphone input devices
capture_audio
Record audio from the microphone and save as WAV
voice_query
Capture, transcribe (whisper.cpp), and query a local LLM (Ollama)

QuillHub Tools (16)

search_meeting_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.

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).

MCP Listen Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "mcp-listen": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-listen"
      ]
    }
  }
}
QuillHub Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "quillhub": {
      "url": "https://mcp.quillhub.ai/mcp"
    }
  }
}

Frequently Asked Questions

MCP Listen is categorized under Speech-to-Text and uses a local stdio subprocess. In contrast, QuillHub belongs to Speech-to-Text using remote streaming HTTP/SSE transport. Select MCP Listen when you need capabilities focused on speech-to-text and QuillHub when you require tools for speech-to-text.

More alternatives to MCP ListenMore alternatives to QuillHubSpeech-to-Text category hub

Related MCP Server Comparisons

Popular comparisons with MCP Listen

  • FunASR logoMCP Listen vs FunASR
  • Whisper MCP logoMCP Listen vs Whisper MCP
  • Windy Word logoMCP Listen vs Windy Word
  • Whisper Windows MCP logoMCP Listen vs Whisper Windows MCP

Popular comparisons with QuillHub

  • Pepys MCP logoQuillHub vs Pepys MCP
56/100 (Good)
52/100 (Good)
Transport ProtocolLocal Subprocess (stdio)Remote HTTP/SSE
Auth RequirementNo auth requiredNo auth required
Pricing ModelFree / Open SourceFree / Open Source
Required Env VarsNone requiredNone required
Compatible Clients
Claude DesktopCursorWindsurfClineVS Code
Claude DesktopCursorWindsurfClineVS Code
Install path signalnpx · highRemote (HTTP/SSE) · high
Engagement & Health 0 views 0 copies 0 upvotes 10 stars 0 views 0 copies 0 upvotes 0 stars
Verified / OfficialCommunity ListingCommunity Listing
Open full listingView MCP Listen ListingView QuillHub Listing
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.
get_subject_page
Full page for one subject: living note, open commitments, every meeting mention with quotes and speakers, unresolved questions.
get_state_timeline
How a subject's note changed over time: revisions with diffs and the recording that caused each change.
list_open_questions
Contradictions and ambiguities the AI found across meetings (e.g. two different budget figures) that need a human decision.
get_project_memory
AI-maintained briefing for a project or workspace: purpose, glossary, key people, activity digest.
list_subject_types
Subject types available in a project and the fields each one tracks.
list_workspaces
Your workspaces and the projects inside them, so the agent can read teammates' shared recordings.
create_transcription
Transcribe a URL (YouTube, direct file link) or an inline base64 file up to 25 MB.
+4 more tools listed on main page
  • Justtranscribe MCP logoQuillHub vs Justtranscribe MCP
  • Transcription logoQuillHub vs Transcription
  • FunASR logoQuillHub vs FunASR