Deepgram Connector for AI agents.
6 live capabilities
Manage speech-to-text workflows and audio API limits.
Waiting for input…
Why people use Deepgram
Deepgram Audio Transcription Management
This Connector changes that by bringing the Deepgram engine into your chat. You just give your agent a URL, and it handles the transcription, the usage reporting, and the project management in one place. You get a functional audio operator, not just a capability.
What Vinkius changes
You get a direct line to Deepgram's audio engine and account controls inside your chat.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Audio QA Audits
A QA engineer asks the agent to transcribe 10 URLs and check the Nova-2 accuracy scores in a table.
- Real-world use case 02
Budget Tracking
A PM asks for a summary of transcription minutes spent in the last 30 days to plan next month's budget.
- Real-world use case 03
Team Onboarding
A lead dev tells the agent to invite three new engineers to the production speech project.
Complete set · 6capabilities
The complete Deepgram capability set.
These are the exact actions your AI can choose when you ask it to work with Deepgram.
01—03
3 capabilities in this set.
Part of 6 available through Deepgram.
- 01 Capability
List api keys
List active API keys
- 02 Capability
Get project usage
Check API usage and limits
- 03 Capability
List available models
List high-performance AI models
04—06
3 capabilities in this set.
Part of 6 available through Deepgram.
- 04 Capability
List deepgram projects
List your Deepgram projects
- 05 Capability
Convert text to speech
Generate audio from text (TTS)
- 06 Capability
Transcribe audio url
Transcribe an audio file via URL
Set up in minutes
One URL. Then ask Deepgram to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Deepgram from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_TncgUjBvIqBaRxaOCzAMTEFPrPacCVhmUvpvUOyU/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Deepgram, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Deepgram for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_TncgUjBvIqBaRxaOCzAMTEFPrPacCVhmUvpvUOyU/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Deepgram URL.
- Step 03
Save and start
Save the connection and enable Deepgram in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"deepgram": {
"url": "https://edge.vinkius.com/vk_preview_TncgUjBvIqBaRxaOCzAMTEFPrPacCVhmUvpvUOyU/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Deepgram
Open Agent mode in chat and ask: "Using Deepgram, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"deepgram": {
"url": "https://edge.vinkius.com/vk_preview_TncgUjBvIqBaRxaOCzAMTEFPrPacCVhmUvpvUOyU/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Deepgram
Ask Copilot: "Using Deepgram, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"deepgram": {
"url": "https://edge.vinkius.com/vk_preview_TncgUjBvIqBaRxaOCzAMTEFPrPacCVhmUvpvUOyU/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Deepgram
Open Cascade and ask: "Using Deepgram, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"deepgram": {
"url": "https://edge.vinkius.com/vk_preview_TncgUjBvIqBaRxaOCzAMTEFPrPacCVhmUvpvUOyU/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Deepgram
Ask Cline: "Using Deepgram, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add deepgram --transport http "https://edge.vinkius.com/vk_preview_TncgUjBvIqBaRxaOCzAMTEFPrPacCVhmUvpvUOyU/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Deepgram
Ask Claude: "Using Deepgram, show me...". 6 tools are ready
Where the request belongs
Work Deepgram can move forward.
The audio engineer who's tired of manual transcription audits and the dev who's constantly hunting for the right API key in a messy dashboard.
Audio AI Engineer
Tests STT and TTS models and checks transcription accuracy without leaving the terminal.
Product Manager
Monitors audio AI usage costs and project limits to stay under budget.
DevOps Engineer
Manages team permissions and rotates API keys across multiple production projects.
When one Connector is not enough
Carry the request into a workflow.
Combine Deepgram with the systems that finish the task.
View all recipesCreate AI Podcast Content Using Connectors
You record a 45-minute podcast, spend 4 hours editing the transcript, and still do not have show notes, a blog post, or social clips , because transcription capabilities give you text but not intelligence
Connectors for Automated Visual Podcasts
Your podcast is audio-only and invisible on YouTube and Instagram , Leonardo AI generates cinematic visuals for every segment, Deepgram timestamps every word for sync, and Sheets manages the production pipeline
Connectors That Remember Every Meeting
You had a critical decision in a meeting 3 weeks ago but nobody remembers the exact reasoning , Deepgram transcribes every meeting, Mem0 stores decisions with persistent memory, and Sheets tracks all commitments
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsSpeechmatics
Automate speech-to-text and text-to-speech. transcribe audio files, generate natural voices, and manage transcription jobs directly.
Play.ht (AI Voice Generation & TTS)
Generate ultra-realistic AI voices and convert text to speech instantly using Play.ht's advanced neural engine.
ElevenLabs
Generate high-quality AI speech via ElevenLabs. use lifelike voices, manage text-to-speech, track usage, and handle audio dubbing directly from any AI agent.
Deepgram
Transcribe speech to text with blazing speed and accuracy using neural networks trained on real-world audio at scale.
AssemblyAI
Transcribe and audit audio. manage speech-to-text jobs via AI.
Cartesia (Voice AI)
Generate lifelike AI voices, clone speech, and transcribe audio with Cartesia's state-of-the-art Sonic models directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Deepgram connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Deepgram.
The practical details behind the request, access and result.
Can Deepgram MCP transcribe my audio files?
Yes, it allows your agent to take audio URLs and turn them into text using the high-speed Nova-2 model.
How do I manage my Deepgram API keys with this?
You can ask your agent to list, create, or delete keys for specific projects directly in your chat.
Can I see my account balance using the Deepgram MCP?
Yes, the Connector can check your current credit balance and usage stats for any project you have connected.
Does this support different voices for speech generation?
Yes, you can use the Aura voices to generate speech from text via your agent for high-fidelity results.
Can I add team members to my project via the Connector?
You can use the Connector to list current members and send invites to new people without leaving your chat interface.
Is this for transcription or just speech?
It does both. It handles speech-to-text for audio files and text-to-speech for generating voices from text.
Can my agent transcribe an audio file from a public URL?
Yes. Use the 'transcribe_url' capability. Provide the public URL of the audio file (WAV, MP3, etc.) and specify the model (e.g., 'nova-2'). The agent will dispatch the request to Deepgram and return the transcribed text instantly.
How do I generate speech from text using the agent?
Use the 'speak_text' capability. Provide the text script and the target voice model (e.g., 'aura-asteria-en'). Your agent will trigger the high-fidelity Aura voice engine and return the binary audio stream data.
Can I monitor my remaining project balance via chat?
Absolutely. Use the 'get_balances' capability with your project ID. The agent will retrieve your current wallet thresholds and funding limits directly from Deepgram to ensure your audio pipelines stay active.
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.
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.
Can I synthesize speech in different voices?
Yes! The convert_text_to_speech capability allows you to specify models like aura-asteria-en or aura-orion-en for different vocal profiles.
One connection away
Give your agent a direct line to Deepgram.
Connect Deepgram once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available