TranscriptionTools
An MCP server for intelligent transcript processing, including formatting, repair, and summarization.
TranscriptionTools MCP Server
An MCP server providing intelligent transcript processing capabilities, featuring natural formatting, contextual repair, and smart summarization powered by Deep Thinking LLMs.
Available MCP Tools
This MCP server exposes four powerful tools for transcript processing:
- repair_text - Analyzes and repairs transcription errors with greater than 90% confidence
- get_repair_log - Retrieves detailed analysis logs from previous repairs
- format_transcript - Transforms timestamped transcripts into naturally formatted text
- 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
- Clone this repository:
git clone https://github.com/mushroomfleet/TranscriptionTools-MCP
cd TranscriptionTools-MCP
- Install dependencies:
npm install
- Build the server:
npm run build
- 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
See Also
- TranscriptionTools-MCP — Transcript processing
- DeepLucid3D-MCP — Cognitive processing
- UNO-MCP — Narrative enhancement
- gitea-mcp — Gitea integration
- zero-vector-MCP — Procedural generation
相关服务器
Kone.vc
赞助Monetize your AI agent with contextual product recommendations
Graph MCP
An MCP to interact with Office 365 - Teams, mail, calendar.
Scenext MCP Server
Integrates with the Scenext AI platform to generate educational videos on various topics.
MD-PDF MCP Server
A server for converting Markdown files to PDF format. Requires pandoc and weasyprint.
TemplateFox
Generate PDF documents with TemplateFox
MCP Task Orchestrator
A Kotlin MCP server for comprehensive task management, allowing AI assistants to interact with project data.
Dart
Interact with task, doc, and project data in Dart, an AI-native project management tool
ActivityWatch MCP Server
An MCP server for ActivityWatch, allowing interaction with your personal time tracking data.
Date-time Tools
A server for date-time manipulation and timezone conversion.
TikTok Ads MCP Server
A Model Context Protocol (MCP) server for TikTok Ads API integration. This server enables AI assistants like Claude to interact with TikTok advertising campaigns, providing comprehensive campaign management, analytics, and optimization capabilities. Part of the AdsMCP project - MCP servers for advertising platforms.
TimeMCP
A server for time and timezone conversion tools.