TranscriptionTools

v1.0.0Developer Toolsstable

MCP server for transcript processing — formatting, contextual repair & smart summarization with deep-thinking LLMs

ai-toolsllmmcpmcp-servermodel-context-protocol
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What is TranscriptionTools?

TranscriptionTools is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for transcript processing — formatting, contextual repair & smart summarization with deep-thinking llms

MCP server for transcript processing — formatting, contextual repair & smart summarization with deep-thinking LLMs

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server for transcript processing — formatting, contextua

Use Cases

Transcript formatting and repair
Smart summarization
MushroomFleet

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedApr 7, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx transcriptiontools-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use TranscriptionTools

TranscriptionTools MCP Server is a TypeScript-based MCP server that brings intelligent transcript processing directly into your AI workflow. It connects to Claude and other MCP clients to expose tools for formatting raw timestamped transcripts, repairing transcription errors with over 90% confidence, and generating structured summaries using the ACE cognitive methodology. Developers and content creators use it to clean up speech-to-text output, produce readable documents from meeting recordings, and extract key insights from long transcripts without manual editing.

Prerequisites

  • Node.js 18 or later installed
  • An MCP-compatible client such as Claude Desktop, Cursor, or Windsurf
  • Git installed (for cloning and building locally)
  • npm installed for package management
1

Install via Smithery CLI

The easiest way to install TranscriptionTools MCP is via the Smithery CLI, which handles building and registration automatically.

npx -y @smithery/cli install @MushroomFleet/transcriptiontools-mcp --client claude
2

Or clone and build manually

Alternatively, clone the repository, install dependencies, and build the TypeScript source.

git clone https://github.com/MushroomFleet/TranscriptionTools-MCP
cd TranscriptionTools-MCP
npm install
npm run build
3

Add to your MCP client configuration

Open your Claude Desktop or other MCP client config file and add the server entry pointing to the compiled index.js.

{
  "mcpServers": {
    "transcription-tools": {
      "command": "node",
      "args": ["/absolute/path/to/TranscriptionTools-MCP/build/index.js"],
      "disabled": false,
      "autoApprove": []
    }
  }
}
4

Restart your MCP client

Restart Claude Desktop or your MCP client to load the new server. The transcription-tools server should appear in the connected servers list.

5

Test with a sample transcript

Use the format_transcript tool to verify the server is working by sending a short timestamped transcript snippet.

TranscriptionTools Examples

Client configuration

Add this block to your claude_desktop_config.json to connect the TranscriptionTools server using a local build.

{
  "mcpServers": {
    "transcription-tools": {
      "command": "node",
      "args": ["/Users/yourname/TranscriptionTools-MCP/build/index.js"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Prompts to try

Sample prompts that exercise the four tools: format_transcript, repair_text, summary_text, and get_repair_log.

- "Format this raw transcript into readable paragraphs: [paste timestamped text]"
- "Repair the transcription errors in the following text and show me what was changed: [paste text]"
- "Summarize this meeting transcript using the ACE methodology: [paste transcript]"
- "Show me the repair log from the last transcript I processed"

Troubleshooting TranscriptionTools

Server fails to start with 'Cannot find module' error

Ensure you ran 'npm run build' inside the cloned repository directory. The compiled files must exist at build/index.js before pointing your config to them.

repair_text returns unmodified text

The repair tool applies changes only when confidence exceeds the 90% threshold. For heavily corrupted transcripts, try smaller chunks or lower the confidence threshold in the source configuration before rebuilding.

Smithery install fails or times out

Fall back to the manual clone-and-build method. Make sure Node.js 18+ is installed and that npx can reach the npm registry from your network.

Frequently Asked Questions about TranscriptionTools

What is TranscriptionTools?

TranscriptionTools is a Model Context Protocol (MCP) server that mcp server for transcript processing — formatting, contextual repair & smart summarization with deep-thinking llms It connects AI assistants to external tools and data sources through a standardized interface.

How do I install TranscriptionTools?

Follow the installation instructions on the TranscriptionTools GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with TranscriptionTools?

TranscriptionTools works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is TranscriptionTools free to use?

Yes, TranscriptionTools is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Developer Tools MCP Servers

Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "transcriptiontools-mcp": { "command": "npx", "args": ["-y", "transcriptiontools-mcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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