Deepgram MCP Server for Google ADKGive Google ADK instant access to 6 tools to Convert Text To Speech, Get Project Usage, List Api Keys, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Deepgram as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Deepgram app connector for Google ADK 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
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="deepgram_alternative_agent",
instruction=(
"You help users interact with Deepgram "
"using 6 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Deepgram as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK
When Google ADK 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.
Generate audio from text (TTS)
Check API usage and limits
List active API keys
List high-performance AI models
List your Deepgram projects
Transcribe an audio file via URL
Connect Deepgram to Google ADK via MCP
Follow these steps to wire Deepgram into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Deepgram MCP Server
Google ADK provides unique advantages when paired with Deepgram through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Deepgram
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Deepgram tools with BigQuery, Vertex AI, and Cloud Functions
Deepgram + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Deepgram MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Deepgram and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Deepgram tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Deepgram regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Deepgram
Example Prompts for Deepgram in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Deepgram immediately.
"Transcribe the audio from this URL: 'https://static.deepgram.com/examples/interview_segments_nuwav.wav'."
"Convert this text to speech: 'Deepgram is the fastest way to add voice to your AI'."
"List all active API keys for project 'proj_123'."
Troubleshooting Deepgram MCP Server with Google ADK
Common issues when connecting Deepgram to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkDeepgram + Google ADK FAQ
Common questions about integrating Deepgram MCP Server with Google ADK.