Can my agent transcribe an audio file from a public URL?

Yes. Use the 'transcribe_url' tool. 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' tool. 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' tool 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.

Deepgram MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Deepgram
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

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.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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_agent",
    instruction=(
        "You help users interact with Deepgram "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports Deepgram as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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

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 /usage to 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 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.

How to Connect Deepgram to Google ADK via MCP

Follow these steps to integrate the Deepgram MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Deepgram via MCP

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

Deepgram MCP Tools for Google ADK (10)

These 10 tools become available when you connect Deepgram to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Deepgram + Google ADK FAQ

Common questions about integrating Deepgram MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.