TranscriptionTools MCP Server
About
MCP server for transcript processing — formatting, contextual repair & smart summarization with deep-thinking LLMs
Details
- Author
- MushroomFleet
- GitHub stars
- 19
- Downloads
- 350
- Categories
- Other, Productivity
Jump to
- Four MCP tools for transcript processing: repair, log, format, summary
- repair_text corrects transcription errors with >90% confidence
- format_transcript removes timestamps and applies intelligent spacing
- summary_text generates summaries with time, word, or character constraints
- get_repair_log retrieves detailed logs of previous repairs
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
TranscriptionTools MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install by cloning the repository, running npm install and npm run build, then configure the server in your MCP settings file. Invoke the tools repair_text, get_repair_log, format_transcript, and summary_text via the MCP client interface.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"transcriptiontools mcp server": {
"TranscriptionTools-MCP": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@MushroomFleet/transcriptiontools-mcp",
"--client",
"claude"
]
}
}
}
}
McpServers
{
"TranscriptionTools-MCP": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@MushroomFleet/transcriptiontools-mcp",
"--client",
"claude"
]
}
}
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">
</a>
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
2. Install dependencies:
npm install
3. Build the server:
npm run build
4. 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 contentContextual 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 requiredSmart 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 rhythmProject 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
MITSee Also
- TranscriptionTools-MCP — Transcript processing
- DeepLucid3D-MCP — Cognitive processing
- UNO-MCP — Narrative enhancement
- gitea-mcp — Gitea integration
- zero-vector-MCP — Procedural generation
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