What are the system requirements?
Node.js and npm are required to build and run the server. The server is written in TypeScript and compiles to JavaScript.
@MushroomFleet
基本情報
MCP server for transcript processing — formatting, contextual repair & smart summarization with deep-thinking LLMs
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"TranscriptionTools-MCP": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@MushroomFleet/transcriptiontools-mcp",
"--client",
"claude"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
TranscriptionTools MCP Server is a Model Context Protocol server that provides intelligent transcript processing, including natural formatting, contextual repair, and smart summarization powered by Deep Thinking LLMs. It is aimed at users needing to clean, format, and summarize spoken-language transcripts.
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.
repair_text corrects transcription errors with >90% confidenceformat_transcript removes timestamps and applies intelligent spacingsummary_text generates summaries with time, word, or character constraintsget_repair_log retrieves detailed logs of previous repairsNode.js and npm are required to build and run the server. The server is written in TypeScript and compiles to JavaScript.
The README mentions “Deep Thinking LLMs” but does not specify a particular model or API; the server appears to use its own logic for repair and formatting without requiring an external LLM service.
Data is passed directly as input text or file paths; the server does not store transcripts externally unless the user provides file paths on the local filesystem.
The server uses standard MCP stdio transport; no authentication or remote endpoints are described in the README.
No. The contextual repair feature explicitly states “No original audio required” – it works only on the text transcript.
不止于 CSS
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
Painless E2E Automation for Mobile and Web
コメント