TranscriptionTools MCP Server
LocalAbout TranscriptionTools MCP Server
TranscriptionTools MCP Server is an MCP server for processing transcripts, offering formatting, contextual repair and summarization powered by deep-thinking LLMs. It suits users who need to clean up spoken-content transcripts.
Key features
- 01Formatting of timestamped transcripts into text
- 02Repair of transcription errors above 90% confidence
- 03Repair log retrieval for previous sessions
- 04Summaries constrained by time, characters or words
Use cases
- 01Turning timestamped transcripts into readable paragraphs
- 02Correcting obvious recognition errors in transcribed text
- 03Generating summaries of a set length from transcripts
MCP support
The server exposes four MCP tools (repair_text, get_repair_log, format_transcript and summary_text) that clients can call to process transcript text.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMETranscriptionTools 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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.