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TranscriptionTools-MCP

MCP.Pizza Chef: MushroomFleet

TranscriptionTools-MCP is a powerful MCP server that provides advanced transcript processing capabilities. It offers natural formatting of timestamped transcripts, contextual error repair with high confidence, and smart summarization using ACE cognitive methodology. Powered by Deep Thinking LLMs, it enables accurate and efficient transformation of raw transcription data into polished, readable, and summarized text, ideal for developers and businesses handling large volumes of audio-to-text data.

Use This MCP server To

Automatically repair transcription errors in audio transcripts Format raw timestamped transcripts into readable text Generate concise summaries of long transcripts Retrieve detailed logs of transcription repair actions

README

TranscriptionTools MCP Server

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An MCP server providing intelligent transcript processing capabilities, featuring natural formatting, contextual repair, and smart summarization powered by Deep Thinking LLMs.

TranscriptionTools Server MCP server

Available MCP Tools

This MCP server exposes four powerful tools for transcript processing:

  1. repair_text - Analyzes and repairs transcription errors with greater than 90% confidence
  2. get_repair_log - Retrieves detailed analysis logs from previous repairs
  3. format_transcript - Transforms timestamped transcripts into naturally formatted text
  4. summary_text - Generates intelligent summaries using ACE cognitive methodology

Installation

Installing via Smithery

To install Transcription Tools for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @MushroomFleet/transcriptiontools-mcp --client claude
  1. Clone this repository:
git clone https://github.com/mushroomfleet/TranscriptionTools-MCP
cd TranscriptionTools-MCP
  1. Install dependencies:
npm install
  1. Build the server:
npm run build
  1. Configure the MCP server in your MCP settings file:
{
  "mcpServers": {
    "transcription-tools": {
      "command": "node",
      "args": ["/path/to/TranscriptionTools-MCP/build/index.js"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Using the MCP Tools

Repairing Transcription Errors

<use_mcp_tool>
<server_name>transcription-tools</server_name>
<tool_name>repair_text</tool_name>
<arguments>
{
  "input_text": "We recieve about ten thousand dollars which is defiantly not enough.",
  "is_file_path": false
}
</arguments>
</use_mcp_tool>

Formatting Timestamped Transcripts

<use_mcp_tool>
<server_name>transcription-tools</server_name>
<tool_name>format_transcript</tool_name>
<arguments>
{
  "input_text": "/path/to/timestamped-transcript.txt",
  "is_file_path": true,
  "paragraph_gap": 8,
  "line_gap": 4
}
</arguments>
</use_mcp_tool>

Generating Summaries

<use_mcp_tool>
<server_name>transcription-tools</server_name>
<tool_name>summary_text</tool_name>
<arguments>
{
  "input_text": "Long text to summarize...",
  "is_file_path": false,
  "constraint_type": "words",
  "constraint_value": 100
}
</arguments>
</use_mcp_tool>

Retrieving Repair Logs

<use_mcp_tool>
<server_name>transcription-tools</server_name>
<tool_name>get_repair_log</tool_name>
<arguments>
{
  "session_id": "20241206143022"
}
</arguments>
</use_mcp_tool>

Core Technologies

Natural Formatting

  • Removes timestamps while preserving speech patterns
  • Applies intelligent spacing based on pause duration
  • Respects natural grammar and language flow
  • Maintains exact transcribed content

Contextual Repair

  • Identifies and corrects likely transcription errors
  • Uses semantic context for high-confidence corrections
  • Maintains detailed logs of all changes
  • 90% confidence threshold for corrections
  • No original audio required

Smart Summarization

  • Creates concise summaries of processed transcripts
  • Supports multiple constraint types:
    • Time-based (speaking duration)
    • Character count
    • Word count
  • Preserves key information and context
  • Maintains natural speaking rhythm

Project Structure

/
├── .gitignore         # Git ignore file
├── LICENSE            # MIT license file
├── README.md          # This documentation
├── package.json       # Package dependencies and scripts
├── tsconfig.json      # TypeScript configuration
├── build/             # Compiled JavaScript files (generated after build)
│   ├── tools/         # Compiled tool implementations
│   └── utils/         # Compiled utility functions
└── src/               # Source TypeScript files
    ├── index.ts       # MCP server entry point
    ├── tools/         # Tool implementations
    │   ├── formatting.ts
    │   ├── repair.ts
    │   └── summary.ts
    └── utils/         # Utility functions
        ├── file-handler.ts
        └── logger.ts

Configuration

You can customize the server behavior by modifying the source code directly. The key configuration parameters are found in the respective tool implementation files:

// In src/tools/formatting.ts
const paragraph_gap = 8; // seconds
const line_gap = 4;      // seconds

// In src/tools/repair.ts
const confidence_threshold = 90; // percentage

// In src/tools/summary.ts
const default_speaking_pace = 150; // words per minute

License

MIT

TranscriptionTools-MCP FAQ

How does the repair_text tool improve transcript accuracy?
It analyzes transcription errors and repairs them with over 90% confidence using advanced LLM models.
Can I get a detailed report of what changes were made during transcript repair?
Yes, the get_repair_log tool provides comprehensive logs of all repair actions performed.
How does format_transcript enhance raw transcripts?
It converts timestamped transcripts into naturally flowing, easy-to-read formatted text.
What summarization method does summary_text use?
It uses the ACE cognitive methodology to generate intelligent and context-aware summaries.
Is this MCP server compatible with multiple LLM providers?
Yes, it supports Deep Thinking LLMs and can integrate with providers like OpenAI, Claude, and Gemini.
Can this server handle large volumes of transcripts efficiently?
Yes, it is designed for scalable transcript processing in real-time or batch workflows.
How do I integrate TranscriptionTools-MCP into my existing pipeline?
The server exposes RESTful MCP endpoints that can be easily called from your applications.
Are the transcript repairs context-aware?
Yes, the server uses contextual analysis to ensure repairs maintain the original meaning.