3,400+ MCP servers ready to use
Vinkius

Bring Speech To Text
to Claude Code

Learn how to connect Deepgram to Claude Code and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Convert Text To SpeechGet Project UsageList Api KeysList Available ModelsList Deepgram ProjectsTranscribe Audio Url

What is the Deepgram MCP Server?

Connect your Deepgram account to any AI agent and take full control of your speech-to-text (STT) and text-to-speech (TTS) workflows through natural conversation.

What you can do

  • Transcription Orchestration — Convert speech from public audio or video URLs into high-fidelity text programmatically using the latest Nova-3 models with smart formatting and diarization
  • Neural Speech Synthesis — Programmatically generate natural-sounding audio from text input using the high-speed Aura engine to coordinate voice-enabled interfaces
  • Model Discovery — Access complete directories of high-performance STT and TTS models supported by Deepgram to ensure the perfect accuracy and latency for your content
  • Project & Usage Monitoring — Programmatically track your API utilization, minute consumption, and request counts across multiple projects for instant operational reporting
  • Credential Lifecycle — Retrieve identifiers for active API keys associated with your projects directly through your agent to maintain high-fidelity security oversight

How it works

1. Subscribe to this server
2. Retrieve your API Key from the Deepgram Console
3. Start transcribing and synthesizing audio from Claude, Cursor, or any MCP client

No more manual file uploading or complex latency tuning in the portal. Your AI acts as your dedicated audio engineer and media production coordinator.

Who is this for?

  • Developers & Engineers — instantly transcribe recorded meetings and integrate high-speed TTS into applications using natural language commands
  • Content Creators — automate the generation of voiceovers and subtitles for global video assets without leaving your workspace
  • Research Teams — scale the processing of interview recordings and monitor usage limits through simple AI queries

Built-in capabilities (6)

convert_text_to_speech

Generate audio from text (TTS)

get_project_usage

Check API usage and limits

list_api_keys

List active API keys

list_available_models

List high-performance AI models

list_deepgram_projects

List your Deepgram projects

transcribe_audio_url

Transcribe an audio file via URL

Why Claude Code?

Claude Code registers Deepgram as an MCP server in a single terminal command. Once connected, Claude Code discovers all 6 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Deepgram data drives decisions without human intervention.

  • Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart

  • Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

  • Claude Code runs headlessly, enabling unattended batch processing using Deepgram tools in cron jobs or deployment scripts

  • Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

Deepgram in Claude Code

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Deepgram and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Deepgram to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Deepgram in Claude Code

The Deepgram MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 6 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Deepgram
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures Deepgram for Claude Code

Every tool call from Claude Code to the Deepgram MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I get a Deepgram API Key?

Log in to the Deepgram Console, navigate to the API Keys section, and create a new key with the necessary permissions.

02

What is the Nova-3 model?

Nova-3 is Deepgram's latest state-of-the-art transcription model, offering unmatched speed and accuracy for real-world audio.

03

Can I synthesize speech in different voices?

Yes! The convert_text_to_speech tool allows you to specify models like aura-asteria-en or aura-orion-en for different vocal profiles.

04

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.

05

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

06

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

07

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable