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
Basic information
MCP server for transcript processing — formatting, contextual repair & smart summarization with deep-thinking LLMs
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"TranscriptionTools-MCP": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@MushroomFleet/transcriptiontools-mcp",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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.

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