How to Use the AssemblyAI MCP in Claude Code

Q: How do I connect AssemblyAI to Claude Code?

Run the command claude mcp add with the server URL. This links your terminal environment to the tools.

Q: Can I use Claude Code to delete old AssemblyAI transcripts?

Yes, you can call deletetranscript directly from your command line. It’s useful for clearing out temp files after a pipeline run.

Q: How do I verify my AssemblyAI connection in Claude Code?

Use claude mcp list to see if the tools are loaded. This confirms that the server is communicating with your agent.

Run AssemblyAI tools from your terminal using Claude Code for headless audio processing in your pipelines.

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Connect AssemblyAI MCP to Claude Code

Create your Vinkius account to connect AssemblyAI to Claude Code 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 Code

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Headless transcription with Claude Code

Pipe audio URLs into `transcribe_audio_url` from your shell. This is perfect for automation scripts in your CI/CD flow. Check the output of `list_transcripts` to ensure your jobs finished correctly. It’s a clean way to manage large batches of files.

Claude Code extracts structural data

Use `get_chapters` and `get_topics` to categorize your audio assets automatically. These tools return structured data that you can feed into other CLI utilities. Your scripts can now parse the output to trigger downstream actions based on the content detection.

Sentiment analysis in Claude Code

Run `get_sentiments` to get a numerical breakdown of your audio content. It gives your terminal scripts the ability to act on human feedback. `get_speakers` is also available to help you identify participants in your recordings. Everything is accessible via standard commands.

Setup guide

Set up AssemblyAI MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see assemblyai-alternative-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest AssemblyAI transactions." It will automatically discover and invoke the available AssemblyAI tools.

Terminal

claude mcp add --transport http assemblyai-alternative-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the AssemblyAI MCP

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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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 Code

Run the command `claude mcp add` with the server URL. This links your terminal environment to the tools.

Yes, you can call `delete_transcript` directly from your command line. It’s useful for clearing out temp files after a pipeline run.

You can run the MCP client inside your container. Just make sure the server endpoint is reachable from your environment.

Use `claude mcp list` to see if the tools are loaded. This confirms that the server is communicating with your agent.

Your audio files are transmitted using standard TLS encryption. The system treats your raw media as sensitive input, ensuring data is only processed for the specific tasks you define in your terminal commands.

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