TranscriptionTools-MCP

Overview

TranscriptionTools-MCP is a specialized MCP server that provides intelligent transcript processing capabilities. It offers four main tools: repairing transcription errors with >90% confidence, retrieving detailed repair logs, transforming timestamped transcripts into naturally formatted text, and generating intelligent summaries using ACE cognitive methodology. The server is built with TypeScript and provides a well-structured codebase with clear separation of concerns between tools and utilities.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• repair_text

  Analyzes and repairs transcription errors with greater than 90% confidence

  Try:Fix transcription errors in this text: We recieve about ten thousand dollars which is defiantly not enough.Try:Correct the transcription mistakes in the meeting notes
• get_repair_log

  Retrieves detailed analysis logs from previous repairs

  Try:Show me the repair log for session 20241206143022Try:Get the analysis log for my last transcript repair
• format_transcript

  Transforms timestamped transcripts into naturally formatted text

  Try:Format this timestamped transcript fileTry:Convert the meeting transcript to natural text format
• summary_text

  Generates intelligent summaries using ACE cognitive methodology

  Try:Summarize this transcript in 100 wordsTry:Create a time-based summary of this meeting recording

Comparable tools

Installation

npx -y @smithery/cli install @MushroomFleet/transcriptiontools-mcp --client claude

git clone https://github.com/mushroomfleet/TranscriptionTools-MCP
cd TranscriptionTools-MCP

npm install

npm run build

{
  "mcpServers": {
    "transcription-tools": {
      "command": "node",
      "args": ["/path/to/TranscriptionTools-MCP/build/index.js"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

FAQ

What transcription accuracy can I expect from the repair tool?

The repair tool claims to correct transcription errors with greater than 90% confidence using semantic context analysis.

Can the server process audio files directly?

No, the server works with text transcripts, not audio files. You'll need to convert audio to text first.

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