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Related Servers

Alternatives to JOONS LISTEN MCP

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Records your calls on your own computer, transcribes them on the machine, and lets an agent start, follow, question and annotate a call while it runs. No meeting bot, no account and no cloud; the same core runs as a self-hosted transcription server.
      20
      GPL 3.0
    • F
      license
      A
      quality
      D
      maintenance
      Transcribes meeting recordings with speaker diarization and automatic speaker identification, leveraging project context to generate minutes. Supports various ASR engines and offers privacy-preserving local processing.
      14
      -
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI apps to transcribe local audio and video files on the user's own GPU, producing SRT/VTT subtitles and text without cloud uploads. It also helps find media files, list available devices, and list supported languages and models.
      4
      206 PyPI
      8
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables users to start and stop meeting recordings, transcribe audio locally on-device, label speakers, and retrieve full transcripts from desktop AI chat so the assistant can draft meeting minutes, with an included control panel and recording management tools.
      MIT

    TDQS

    A3.6/5.0

    Scored across 6 tools

    Disambiguation4/5

    Each tool targets a distinct stage of the async pipeline: queue (transcribe/diarize/summarize), poll (status), fetch (result), and inspect (models). The only friction is mild overlap between listen_transcribe's optional minutes flag and listen_summarize, plus status vs result needing the description to clarify state-vs-content. Descriptions do resolve this, so misselection risk is low.

    Naming Consistency5/5

    All six tools use a uniform listen_ prefix followed by a clear noun/verb (transcribe, status, diarize, summarize, result, models) in consistent snake_case. The pattern is predictable enough that an agent can guess a tool name before reading it.

    Tool Count5/5

    Six tools is a tight, well-scoped surface for an asynchronous audio-processing service: one per job type plus the status/result/models trio needed to drive the queue-and-poll workflow. No tool looks redundant or padded.

    Completeness4/5

    The lifecycle is largely covered: submit jobs, check status/health, retrieve results in multiple formats, summarize, and inspect engines. Gaps are administrative rather than core — no cancel/delete job, no explicit list-jobs tool (folded into listen_status), and no way to submit remote/uploaded audio, but agents can work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues