assemblyai-mcp

assemblyai-mcp

MCP server for the AssemblyAI API, providing tools for transcription, subtitles, speaker turns, word search, and LeMUR-based queries.

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README

assemblyai-mcp

An MCP server for the AssemblyAI API. Transcription, subtitles, speaker turns, word search and LeMUR, exposed as tools an agent can call.

Written because I needed one and there wasn't one.

Install

npm install -g assemblyai-mcp

Claude Code:

claude mcp add assemblyai -e ASSEMBLYAI_API_KEY=your-key -- npx -y assemblyai-mcp

Anything else that speaks MCP over stdio:

{
  "mcpServers": {
    "assemblyai": {
      "command": "npx",
      "args": ["-y", "assemblyai-mcp"],
      "env": { "ASSEMBLYAI_API_KEY": "your-key" }
    }
  }
}

Keys come from the dashboard.

Tools

Tool What it does
upload_file Upload a local audio or video file and get a URL transcribe accepts
transcribe Transcribe audio or video from a URL. Waits for the result by default
get_transcript Fetch a transcript by id, with its status if it is still running
list_transcripts Recent transcripts on the account
get_subtitles SRT or VTT for a completed transcript
search_transcript Where words are spoken, with counts and timestamps
get_speaker_turns Who said what, when the transcript was made with speaker_labels
ask_transcript Answer a question from one or more transcripts, through LeMUR
summarize_transcript Summarise transcripts through LeMUR

Three decisions worth knowing about

transcribe waits. An agent handed a job id and a queued status has to invent a polling loop, and it usually invents a bad one: fixed interval, no ceiling, no message when it gives up. Waiting is what the caller meant. Pass wait: false if you actually want the id. On timeout the error says the transcript is not lost and names the tool that will fetch it.

Long output is capped and says so. Transcripts run to hundreds of kilobytes. A tool that returns all of it spends the context window on text the agent is about to summarise anyway. Anything that can run long takes a limit and reports how much it trimmed, rather than silently truncating.

Milliseconds become seconds. The API speaks milliseconds, which is right for an API and wrong for a model writing an answer a person will read. Timestamps come out as seconds with one decimal.

Development

npm install
npm run build
npm test

The API client (src/api.ts) knows nothing about MCP and takes an injected fetch, so the tests run against a scripted transport with no network and no key. The tests cover what tends to break in a thin API wrapper: the key never reaching a URL, ids being escaped so a hostile id cannot reshape the path, non-JSON responses (subtitles arrive as text), error bodies surfacing the sentence the API wrote instead of a bare status, and the polling loop stopping on both completed and error.

Note for AssemblyAI

If any of this is useful to you, take it. It is MIT, and it is yours to fork, rename, absorb or throw away. If you would rather have it as a first-party server, I am happy to help get it there.

MIT.

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