Deepgram Connector for AI agents.
6 live capabilities
Turn audio files into high-fidelity text transcripts and voiceovers.
Waiting for input…
Why people use Deepgram
Deepgram for Automating Transcription Workflows
With this Connector, that whole process disappears. You just tell your agent to grab the transcript from a link. It handles the connection, processes the audio through the Nova-3 models, and gives you the text immediately. You get to stay in your flow while the agent handles the heavy lifting.
What Vinkius changes
You get a direct way to process audio and speech through your AI agent.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Automating video subtitles
A content creator gives their agent a YouTube link and asks for a transcript.
- Real-world use case 02
Building a voice-enabled app
A developer asks their agent to create a voiceover for a new feature.
- Real-world use case 03
Scaling interview research
A researcher provides a folder of links to recorded interviews.
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 available models
See which high-performance models are ready for your project. This helps you pick the right balance of speed and accuracy.
- 02 Capability
Get project usage
Check your current API limits and remaining quota. It keeps you on top of your costs and usage across different projects.
- 03 Capability
List api keys
View all your active API keys in one place. It makes it easy to manage credentials for different environments.
04—06
3 capabilities in this set.
Part of 6 available through Deepgram.
- 04 Capability
List deepgram projects
Get a full list of your active projects. Use this to see what's currently running in your Deepgram account.
- 05 Capability
Convert text to speech
Turn written text into natural human voices. This capability generates the audio files you need for voiceovers or apps.
- 06 Capability
Transcribe audio url
Send a link to an audio file and get a text transcript back. It handles the processing so you don't have to upload anything.
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_b4nB7qQlpNhKdRs2pTzPWFY3jI1pKu8WFxapjmwu/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_b4nB7qQlpNhKdRs2pTzPWFY3jI1pKu8WFxapjmwu/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-alternative": {
"url": "https://edge.vinkius.com/vk_preview_b4nB7qQlpNhKdRs2pTzPWFY3jI1pKu8WFxapjmwu/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-alternative": {
"url": "https://edge.vinkius.com/vk_preview_b4nB7qQlpNhKdRs2pTzPWFY3jI1pKu8WFxapjmwu/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-alternative": {
"url": "https://edge.vinkius.com/vk_preview_b4nB7qQlpNhKdRs2pTzPWFY3jI1pKu8WFxapjmwu/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-alternative": {
"url": "https://edge.vinkius.com/vk_preview_b4nB7qQlpNhKdRs2pTzPWFY3jI1pKu8WFxapjmwu/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-alternative --transport http "https://edge.vinkius.com/vk_preview_b4nB7qQlpNhKdRs2pTzPWFY3jI1pKu8WFxapjmwu/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.
This is for the media pro who's tired of manual subtitling, the developer building a voice bot, and the researcher drowning in hours of recorded interviews.
Content Creator
You'll use this to generate automated voiceovers for your videos and create accurate captions for your social media posts.
Software Engineer
You'll use this to build features that turn text into speech or to process user voice commands in your own applications.
Research Analyst
You'll use this to quickly turn dozens of hours of interview recordings into searchable text documents.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsAssemblyAI
Transcribe and audit audio. manage speech-to-text jobs via AI.
Gladia (Speech AI)
Transcribe, translate, and analyze audio with Gladia's high-speed Speech AI. support for pre-recorded files and live streaming.
Speechmatics
Automate speech-to-text and text-to-speech. transcribe audio files, generate natural voices, and manage transcription jobs directly.
Deepgram
Transcribe speech to text with blazing speed and accuracy using neural networks trained on real-world audio at scale.
Speechnotes
Transcribe audio files, manage transcription jobs, and export text on Speechnotes with AI agents.
NVIDIA Audio
Transcribe speech, generate voices, translate audio, and clone voices via NVIDIA Audio APIs.
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 I use the Deepgram MCP to transcribe long audio files?
Yes, you can send links to long audio or video files. Your agent will handle the transcription and return the full text, including speaker labels, without you needing to upload anything manually.
Does the Deepgram MCP support different types of voices?
Yes, it gives your agent access to various neural speech models. You can choose different styles and tones to create high-quality voiceovers for your specific projects.
How does the Deepgram MCP help with my API costs?
It allows your agent to check your current usage and limits in real-time. This helps you monitor your spending and stay on top of your quota across all your different projects.
Is the Deepgram MCP good for real-time transcription?
It's designed for high-speed processing using the latest models. It's great for quickly turning recorded audio into usable text for research, content creation, or app development.
Can I manage my Deepgram keys through the Deepgram MCP?
Yes, you can use your agent to list and organize your active API keys. This makes it much easier to manage different credentials for your various development environments.
What happens if I give the Deepgram MCP a broken URL?
Your agent will attempt to access the link and let you know if there's an issue. It handles the communication with the audio service so you don't have to troubleshoot errors manually.
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.
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