How to connect Deepgram to Claude Cowork

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Introduction

Cowork is Anthropic's AI agent for knowledge work. Think of it as Claude Code for everything else. It works autonomously with your computer, local files, and applications to accomplish complex tasks.

This guide walks you through the easiest and most secure way to connect your Deepgram account to Cowork via Composio Connect, enabling it to transcribe meeting audio from this URL, summarize podcast episode for quick review, convert blog post text to speech audio, and more such actions on your behalf without compromising your account security.

Also integrate Deepgram with

Connecting Deepgram to Claude Cowork

1. Open Customize

In Claude Desktop, click Customize in the left sidebar, then select Connectors and click the + icon at the top.

Claude Desktop connectors screen with Add custom connector selected

2. Add the Composio MCP server

Click Add custom connector and paste in the Composio MCP server URL:

bash
https://connect.composio.dev/mcp
Add custom connector dialog with Composio MCP server URL

3. Authorize in your browser

Click Connect. You'll be redirected to a browser window where you can authorize Composio to continue.

Composio authorization screen for Claude Cowork

4. Connect your Deepgram account

Back in Cowork, ask the agent to connect to Deepgram or give it any Deepgram-related task.

For example, ask Cowork to:

  • "Transcribe meeting audio from this URL"
  • "Summarize podcast episode for quick review"
  • "Convert blog post text to speech audio"

It will prompt you to authenticate and authorize access.

That's it. Composio's tools are now available in Cowork, and your Deepgram account is ready to use.

What is Claude Cowork?

Claude Cowork is Anthropic's agent for general knowledge work. It can use your computer, files, and connected applications to complete longer-running tasks across your work tools.

With Composio Connect, Cowork can securely access apps like Deepgram through MCP without you sharing account credentials directly with the agent.

What is the Deepgram MCP server, and what's possible with it?

The Deepgram MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Deepgram account. It provides structured and secure access to Deepgram's speech AI services, so your agent can transcribe audio, generate summaries, convert text to speech, detect topics, and analyze project usage on your behalf.

  • Automated audio transcription: Your agent can transcribe pre-recorded audio files into accurate, readable text for effortless documentation and analysis.
  • Audio summarization: Have your agent generate quick, concise summaries of audio content, making it easy to review lengthy recordings in seconds.
  • Natural-sounding text-to-speech: Let your agent convert written text into lifelike speech audio using Deepgram's public TTS models for accessibility or creative applications.
  • Topic detection from audio: Enable your agent to identify and report on the main topics discussed within audio files, streamlining content review and categorization.
  • Usage analytics and project insights: Retrieve and analyze project usage metrics, scope permissions, and available models to optimize your Deepgram integration and monitor account health.

Supported Tools & Triggers

Tools
Get Public ModelsTool to retrieve metadata on all the latest public deepgram speech-to-text models.
List Deepgram ProjectsTool to list all deepgram projects.
Get Project Usage SummaryTool to retrieve a summary of usage data for a specified deepgram project.
Get Public TTS ModelsTool to fetch metadata about all latest public tts voice models.
List Project ScopesTool to list all scopes for a specified deepgram project.
Transcribe Pre-recorded AudioTool to transcribe pre-recorded audio files into text.
Summarize AudioTool to generate concise summaries from audio content.
Text-to-Speech (REST)Tool to convert text into natural-sounding speech.
Topic DetectionTool to transcribe audio and detect topics.

How to build Deepgram MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Deepgram MCP?

With a standalone Deepgram MCP server, the agents and LLMs can only access a fixed set of Deepgram tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Deepgram and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with Claude Cowork?

Yes, you can. Claude Cowork fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Deepgram tools.

Can I manage the permissions and scopes for Deepgram while using Tool Router?

Yes, absolutely. You can configure which Deepgram scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Deepgram data and credentials are handled as safely as possible.

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