TranscriptionTools MCP Server
Provides intelligent transcript processing capabilities for Claude, featuring natural formatting, contextual repair, and smart summarization powered by Deep Thinking LLMs.
MushroomFleet
Tools
repair_text
Analyzes and repairs transcription errors with greater than 90% confidence
get_repair_log
Retrieves detailed analysis log from previous repair operation
format_transcript
Transforms timestamped transcripts into naturally formatted text
summary_text
Generates intelligent summaries using ACE cognitive methodology
README
TranscriptionTools MCP Server
An MCP server providing intelligent transcript processing capabilities, featuring natural formatting, contextual repair, and smart summarization powered by Deep Thinking LLMs.
<a href="https://glama.ai/mcp/servers/in1wo7l928"> <img width="380" height="200" src="https://glama.ai/mcp/servers/in1wo7l928/badge" alt="TranscriptionTools Server MCP server" /> </a>
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
Recommended Servers
Apple MCP Server
Enables interaction with Apple apps like Messages, Notes, and Contacts through the MCP protocol to send messages, search, and open app content using natural language.
Crypto Price & Market Analysis MCP Server
A Model Context Protocol (MCP) server that provides comprehensive cryptocurrency analysis using the CoinCap API. This server offers real-time price data, market analysis, and historical trends through an easy-to-use interface.
mcp-server-youtube-transcript
A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video captions and subtitles through a simple interface.
MCP PubMed Search
Server to search PubMed (PubMed is a free, online database that allows users to search for biomedical and life sciences literature). I have created on a day MCP came out but was on vacation, I saw someone post similar server in your DB, but figured to post mine.
dbt Semantic Layer MCP Server
A server that enables querying the dbt Semantic Layer through natural language conversations with Claude Desktop and other AI assistants, allowing users to discover metrics, create queries, analyze data, and visualize results.
mixpanel
Connect to your Mixpanel data. Query events, retention, and funnel data from Mixpanel analytics.
Todoist MCP
An MCP server that enables LLMs to interact with Todoist tasks, projects, and other features through the Todoist API.

Notion API MCP Server
Enables advanced todo list management and content organization using Notion's API, supporting features like creating databases, dynamic filtering, and collaborative task tracking.

Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.
Todoist MCP Server
Integrates Claude with Todoist for natural language task management, supporting project and section organization, task creation, updating, completion, and deletion using everyday language.