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Deepgram MCP Server for WindsurfGive Windsurf instant access to 6 tools to Convert Text To Speech, Get Project Usage, List Api Keys, and more

Built by Vinkius GDPR 6 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect Deepgram through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Use with Your AI Agent

Ask AI about this App Connector for Windsurf

Open in ChatGPT Open in Claude Open in Perplexity

The Deepgram app connector for Windsurf is a standout in the Ai Frontier category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Deepgram and 3,400+ MCP Servers from a single visual interface.

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Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "deepgram-alternative": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
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

About 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.

Windsurf's Cascade agent chains multiple Deepgram tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

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

The Deepgram MCP Server exposes 6 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Deepgram tools available for Windsurf

When Windsurf connects to Deepgram through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, text-to-speech, transcription, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

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

Connect Deepgram to Windsurf via MCP

Follow these steps to wire Deepgram into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
02

Add the server

Paste the JSON configuration above into mcp_config.json
03

Save and reload

Windsurf will detect the new server automatically
04

Start using Deepgram

Open Cascade and ask: "Using Deepgram, help me...". 6 tools available

Why Use Windsurf with the Deepgram MCP Server

Windsurf provides unique advantages when paired with Deepgram through the Model Context Protocol.

01

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

02

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 6 tools are immediately available

04

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Deepgram + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Deepgram MCP Server delivers measurable value.

01

Automated code generation: ask Cascade to fetch data from Deepgram and generate models, types, or handlers based on real API responses

02

Live debugging: query Deepgram tools mid-session to inspect production data while debugging without leaving the editor

03

Documentation generation: pull schema information from Deepgram and have Cascade generate comprehensive API docs automatically

04

Rapid prototyping: combine Deepgram data with Cascade's code generation to scaffold entire features in minutes

Example Prompts for Deepgram in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with Deepgram immediately.

01

"Transcribe the audio from this URL: 'https://static.deepgram.com/examples/interview_segments_nuwav.wav'."

02

"Convert this text to speech: 'Deepgram is the fastest way to add voice to your AI'."

03

"List all active API keys for project 'proj_123'."

Troubleshooting Deepgram MCP Server with Windsurf

Common issues when connecting Deepgram to Windsurf through the Vinkius, and how to resolve them.

01

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Deepgram + Windsurf FAQ

Common questions about integrating Deepgram MCP Server with Windsurf.

01

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
02

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
03

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.