Resemble AI MCP Server for Google ADKGive Google ADK instant access to 16 tools to Add Watermark, Create Clip, Create Project, and more

Name: Resemble AI
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Resemble AI as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

Open in ChatGPT Open in Claude Open in Perplexity

The Resemble AI MCP Server for Google ADK is a standout in the Image Video category — giving your AI agent 16 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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="resemble_ai_agent",
    instruction=(
        "You help users interact with Resemble AI "
        "using 16 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 Resemble AI MCP Server

Connect your Resemble AI account to any AI agent to generate, manage, and protect high-fidelity synthetic speech through natural conversation.

Google ADK natively supports Resemble AI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 16 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

Voice Synthesis — Create high-quality audio clips from text using custom or system voices with full SSML support.
Speech-to-Speech — Transform source audio into a target voice while preserving the original emotion, intonation, and timing.
Project Organization — List, create, and manage projects to keep your audio assets and clips organized.
Voice Management — List available voices, create new custom voice profiles, and manage training recordings.
AI Safety & Security — Detect deepfakes in audio files and apply or verify digital watermarks to ensure content authenticity.

update

Update clip on Resemble AI

Update an existing clip

verify

Verify watermark on Resemble AI

Verify a watermark in an audio file

Connect Resemble AI to Google ADK via MCP

Follow these steps to wire Resemble AI into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 16 tools from Resemble AI via MCP

Why Use Google ADK with the Resemble AI MCP Server

Google ADK provides unique advantages when paired with Resemble AI 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 Resemble AI

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 Resemble AI tools with BigQuery, Vertex AI, and Cloud Functions

Resemble AI + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Resemble AI MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Resemble AI and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Resemble AI tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Resemble AI regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Resemble AI

Example Prompts for Resemble AI in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Resemble AI immediately.

"List all my Resemble AI projects and their UUIDs."

"Create a new audio clip in project proj_123 saying 'Welcome to the future of voice' using voice voice_789."

"Analyze this audio URL to see if it's a deepfake: https://example.com/audio.mp3"

Troubleshooting Resemble AI MCP Server with Google ADK

Common issues when connecting Resemble AI to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Resemble AI + Google ADK FAQ

Common questions about integrating Resemble AI 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.