How to Use the AssemblyAI MCP in Claude

Q: How do I install the AssemblyAI MCP Server on Claude Desktop?

You can configure this MCP server by editing your local claudedesktopconfig.json file. Add the server under the mcpServers key with the execution command. Restart the desktop app, and the new audio tools will appear next to your chat input.

Q: Can Claude Desktop transcribe local audio files with this server?

No, this specific server uses transcribeaudiourl to process files hosted online. You need to upload your audio or video file to a public or signed URL first. Once uploaded, pass that link to the tool inside your chat.

Q: How do I list my recent transcriptions in Claude Desktop using AssemblyAI?

The listtranscripts tool lets you view your recent jobs directly in the chat interface. Your agent can call this tool to find older transcripts and pull their details without you digging for IDs.

Q: Can I delete my transcription data from Claude Desktop using AssemblyAI?

Yes, you can run deletetranscript directly from the chat window. This command tells the API to purge the record, ensuring your remote data footprint stays minimal.

Feed audio URLs directly to Claude Desktop and get back structured transcripts, summaries, and speaker labels instantly.

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Connect AssemblyAI MCP to Claude Desktop

Create your Vinkius account to connect AssemblyAI to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AssemblyAI with Claude Desktop

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Transcribe audio URLs directly inside Claude Desktop

The `transcribe_audio_url` tool kicks off the transcription process by sending your media link directly to AssemblyAI. Your AI client monitors the progress with `get_transcript` and pulls down the finished text as soon as it is ready. You do not need to download massive files to your machine or write custom fetch scripts. The MCP server handles the heavy lifting behind the scenes so you can focus on the content.

Extract structured summaries and chapters

The `get_chapters` tool automatically slices your audio files into logical segments with timecodes. When you need a quick overview instead of a full read, `get_summary` extracts the main points so your agent can brief you instantly. These tools let you query long meetings or podcasts without reading thousands of words. Your agent reads the structured output and answers specific questions about who said what and when.

Analyze sentiments and detect topics

The `get_sentiments` tool evaluates the emotional tone of the transcript to pinpoint positive, negative, or neutral moments. Pair this with `get_topics` to categorize the discussion themes automatically. You can also track speaker changes using `get_speakers` to see who dominated the conversation. If you need to clean up your workspace, `delete_transcript` removes the data from your history.

Setup guide

Set up AssemblyAI MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The AssemblyAI MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the AssemblyAI MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under assemblyai-alternative-mcp.

json

{
  "mcpServers": {
    "assemblyai-alternative-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AssemblyAI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AssemblyAI MCP in Claude Desktop

You can configure this MCP server by editing your local `claude_desktop_config.json` file. Add the server under the `mcpServers` key with the execution command. Restart the desktop app, and the new audio tools will appear next to your chat input.

No, this specific server uses `transcribe_audio_url` to process files hosted online. You need to upload your audio or video file to a public or signed URL first. Once uploaded, pass that link to the tool inside your chat.

The `list_transcripts` tool lets you view your recent jobs directly in the chat interface. Your agent can call this tool to find older transcripts and pull their details without you digging for IDs.

Yes, you can run `delete_transcript` directly from the chat window. This command tells the API to purge the record, ensuring your remote data footprint stays minimal.

Your media files and text transcripts are processed securely through the Vinkius MCP host, which uses ephemeral V8 isolates. The server only handles your audio URLs and transcript IDs to fetch results, meaning no data is stored permanently. You can also run `delete_transcript` at any time to purge records from the remote API.

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