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setup-mcp

★ 12

by deepgram · part of deepgram/skills

You are setting up Deepgram MCP integration for the user. Follow these steps:

🔥🔥✓ VerifiedFreeQuick setup
#voice#git
🧩 One of 7 skills in the deepgram/skills package — works on its own, and pairs well with its siblings.

You are setting up Deepgram MCP integration for the user. Follow these steps:

Inspect the full instructions your agent will receiveExpand

This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.

by deepgram

You are setting up Deepgram MCP integration for the user. Follow these steps: npx skills add https://github.com/deepgram/skills --skill setup-mcp Download ZIPGitHub12

Step 1: Check for the Deepgram CLI

Run dg --version (or deepctl --version, or where dg on Windows) to check if the Deepgram CLI is installed.

  • If found: use the local CLI MCP (dg mcp) — this gives full access to Deepgram tools including transcription, text-to-speech, project management, and more.

  • If not found: use the hosted documentation MCP and offer to install the CLI.

Step 2: Detect the environment

Determine which AI coding tool the user is running. Check for:

  • Claude Code — look for a .claude/ directory in the project or user home

  • Cursor — look for a .cursor/ directory in the project root

  • Windsurf — look for a .windsurf/ directory in the project root

If multiple are detected, or none are detected, ask the user which tool they want to configure.

Step 3: Ask about scope

Ask the user whether they want the MCP server configured:

  • For this project only (recommended for team repos)

  • Globally (available in all projects)

Step 5: Confirm

After installation:

  • Claude Code — run /reload-plugins to activate immediately, no restart needed.

  • Cursor / Windsurf / Other — the user may need to restart or reload their tool.

Then tell the user:

The Deepgram MCP server is now configured.

If using the CLI MCP (dg mcp), add:

Available tools include transcription, text-to-speech, project management, and usage queries. Try asking to transcribe an audio file or convert text to speech.

If using the hosted docs MCP, add:

Your tool can now query Deepgram's full documentation directly — try asking about API parameters, voice agents, or model capabilities.

Link them to Deepgram Agentic Tools for more details.