3,400+ MCP servers ready to use
Vinkius

Bring Speech To Text
to VS Code Copilot

Learn how to connect Deepgram to VS Code Copilot 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 VS Code Copilot?

GitHub Copilot Agent mode brings Deepgram data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 6 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

  • VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

  • Project-scoped MCP configs (.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

  • Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

  • GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

See it in action

Deepgram in VS Code Copilot

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 VS Code Copilot 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 VS Code Copilot

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 VS Code Copilot 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 VS Code Copilot

Every tool call from VS Code Copilot 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

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

05

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

06

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

07

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

08

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.