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Transcriptiontools Mcp

@MushroomFleeton 9 months ago
13 MIT
FreeCommunity
AI Systems
An MCP server providing intelligent transcript processing capabilities, featuring natural formatting, contextual repair, and smart summarization powered by Deep Thinking LLMs.

Overview

What is Transcriptiontools Mcp

TranscriptionTools-MCP is an MCP server designed for intelligent transcript processing, offering features such as natural formatting, contextual repair, and smart summarization powered by Deep Thinking LLMs.

Use cases

Use cases for TranscriptionTools-MCP include enhancing the quality of transcriptions, preparing transcripts for publication, summarizing long discussions or meetings, and maintaining accurate records of spoken content.

How to use

To use TranscriptionTools-MCP, install it via Smithery or clone the repository. You can then utilize its tools by sending requests to the server with specific commands for repairing text, formatting transcripts, generating summaries, and retrieving repair logs.

Key features

Key features include: 1) repair_text for correcting transcription errors with over 90% confidence; 2) get_repair_log for accessing detailed analysis logs; 3) format_transcript for converting timestamped transcripts into naturally formatted text; 4) summary_text for generating intelligent summaries using ACE cognitive methodology.

Where to use

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Content

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

Tools

No tools

Comments

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