Deepgram MCP Server for Windsurf 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Deepgram and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"deepgram": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Speech-to-Text (STT) — Dispatch automated transcription requests for remote audio URLs using the lightning-fast Nova-2 model to consume explicit WAV/MP3 web streams
- Text-to-Speech (TTS) — Generate high-fidelity audio from raw text using Aura voices, outputting the exact binary stream footprint natively from your chat
- Usage Monitoring — Analyze specific global bounds hitting
/usageto map literally terabytes of exact API transcription times and TTS byte usage - Project & Key Management — List and create ephemeral Deepgram access boundaries (API keys) and isolate organizational tenants where Audio AI billing is enforced
- Wallet Oversight — Retrieve explicit cloud logging tracing explicit Vault limits and verify direct wallet thresholds to ensure pipelines never drop
- Identity & Invites — Manage developer limits by listing members and sending team invites to specific project UUIDs strictly
The Deepgram MCP Server exposes 10 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.
How to Connect Deepgram to Windsurf via MCP
Follow these steps to integrate the Deepgram MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Deepgram
Open Cascade and ask: "Using Deepgram, help me...". 10 tools available
Why Use Windsurf with the Deepgram MCP Server
Windsurf provides unique advantages when paired with Deepgram through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
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.
Automated code generation: ask Cascade to fetch data from Deepgram and generate models, types, or handlers based on real API responses
Live debugging: query Deepgram tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Deepgram and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Deepgram data with Cascade's code generation to scaffold entire features in minutes
Deepgram MCP Tools for Windsurf (10)
These 10 tools become available when you connect Deepgram to Windsurf via MCP:
create_key
Identify precise active arrays spanning native Gateway auth
delete_key
Inspect deep internal arrays mitigating specific Plan Math
get_balances
Retrieve explicit Cloud logging tracing explicit Vault limits
get_usage
Perform structural extraction of properties driving active Account logic
list_keys
Provision a highly-available JSON Payload generating hard Customer bindings
list_members
Dispatch an automated validation check routing explicit Gateway history
list_projects
Identify bounded CRM records inside the Headless Deepgram Platform
send_invite
Identify precise active arrays spanning native Hold parsing
speak_text
Enumerate explicitly attached structured rules exporting active Billing
transcribe_url
Irreversibly vaporize explicit validations extracting rich Churn flags
Example Prompts for Deepgram in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Deepgram immediately.
"Transcribe this audio: https://example.com/recording.mp3 using nova-2"
"Generate speech for: 'The future of AI is agentic' using aura-asteria-en"
"Show me my Deepgram usage for this month"
Troubleshooting Deepgram MCP Server with Windsurf
Common issues when connecting Deepgram to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Deepgram + Windsurf FAQ
Common questions about integrating Deepgram MCP Server with Windsurf.
How does Windsurf discover MCP tools?
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.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Deepgram with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Deepgram to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.