Skip to main content
Glama

Related Servers

Alternatives to whisper-mcp

No user-submitted related servers found.

    Related Servers

    • F
      license
      A
      quality
      D
      maintenance
      Enables high-quality transcription and subtitle generation from local media files or URLs using Faster Whisper on local hardware. It supports automatic language detection and integration with MCP clients for seamless speech-to-text workflows.
      3
      -
    • A
      license
      A
      quality
      C
      maintenance
      Local, private audio transcription MCP server enabling AI agents to transcribe audio files entirely on-device without uploading data.
      3
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      This MCP server enables local-first video subtitle processing on Windows, offering tools for transcription, subtitle formatting, SRT/ASS export, FFmpeg rendering, and Kdenlive project creation without cloud APIs.
      9
      MIT
    • A
      license
      A
      quality
      F
      maintenance
      Provides local audio transcription using whisper.cpp, supporting multiple models and audio formats. Enables transcription of audio files via MCP tools with optional timestamps.
      3
      85 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to search, retrieve, transcribe, and summarize a local audio/video library over MCP, with timestamps and saved reports.
      4
      Apache 2.0
    • F
      license
      A
      quality
      D
      maintenance
      Enables local media processing (video/audio) using FFmpeg and FFprobe, allowing frame extraction, audio conversion, and metadata retrieval through natural language.
      5
      -

    TDQS

    A3.9/5.0

    Scored across 3 tools

    Disambiguation4/5

    transcribe and generate_srt both involve transcription, but their output types are clearly different: one returns structured segments while the other writes an SRT file. burn_captions is completely distinct, focusing on video rendering rather than audio processing.

    Naming Consistency4/5

    generate_srt and burn_captions follow a clear verb_noun pattern. transcribe is a bare verb, which is a minor deviation, but it is still short, predictable, and fits the domain.

    Tool Count5/5

    Three tools is well-scoped for a whisper-focused server. Each tool covers a meaningful step in the transcription/subtitling workflow without unnecessary redundancy.

    Completeness4/5

    The core workflow of transcribing audio, generating subtitles, and burning them into video is fully covered. Minor gaps like explicit plain-text transcript export or translation are absent, but they can be worked around from the timestamped segments.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues