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Related Servers

Alternatives to Samuraizer

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
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      maintenance
      Local, private audio transcription MCP server enabling AI agents to transcribe audio files entirely on-device without uploading data.
      3
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Local-first meeting capture and transcription for Claude Code. Records audio from meeting apps, transcribes locally with whisper.cpp, and produces structured notes via Claude.
      1
      Apache 2.0
    • A
      license
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      C
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      MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.
      2
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Local-first speech-to-text and text-to-speech MCP server. Hot-swappable engines via config.yaml — no code changes, no API keys required.
      2
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Transcribes audio/video files, generates summaries and structured knowledge items, and supports Notion integration and chat-based interaction. Works as a standalone CLI, Notion integration, or MCP server tool for agent ecosystems.
      15
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    TDQS

    A3.8/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose, from normalization and transcription to summarization, extraction, and meeting management. The separate extraction tools for action items and decisions avoid overlap, and process_recording serves as a composite operation without ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., normalize_audio, transcribe_audio, list_meetings), making it predictable and easy to understand the function of each tool.

    Tool Count5/5

    With 9 tools, the count is well-suited to the domain of audio processing and meeting summaries. It covers the essential steps of the pipeline and meeting retrieval without being excessively large or minimal.

    Completeness5/5

    The tool set covers the full workflow from raw audio normalization to transcription, summarization, extraction of action items and decisions, and includes a composite processing tool. Retrieval, search, and listing functions complete the necessary operations for managing processed meetings.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive