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Resemble AI MCP Server for AutoGenGive AutoGen instant access to 16 tools to Add Watermark, Create Clip, Create Project, and more

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Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Resemble AI as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Ask AI about this MCP Server for AutoGen

The Resemble AI MCP Server for AutoGen 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

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ChatGPTChatGPT
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JetBrainsJetBrains
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+ other MCP clients
python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="resemble_ai_agent",
            tools=tools,
            system_message=(
                "You help users with Resemble AI. "
                "16 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Resemble AI
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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Resemble AI tools. Connect 16 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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.

The Resemble AI MCP Server exposes 16 tools through the Vinkius. Connect it to AutoGen in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 16 Resemble AI tools available for AutoGen

When AutoGen connects to Resemble AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning voice-cloning, text-to-speech, synthetic-media, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add watermark on Resemble AI

Apply an imperceptible watermark to an audio file

create

Create clip on Resemble AI

Supports SSML. Create a new clip (Text-to-Speech)

create

Create project on Resemble AI

Create a new project

create

Create recording on Resemble AI

Upload an audio recording to train a voice

create

Create voice on Resemble AI

Create a new custom voice

delete

Delete voice on Resemble AI

Delete a custom voice

detect

Detect deepfake on Resemble AI

Verify if an audio clip is real or AI-generated

get

Get clip on Resemble AI

Get a specific clip

get

Get voice on Resemble AI

Get details of a specific voice

list

List clips on Resemble AI

List clips in a project

list

List projects on Resemble AI

List all projects

list

List recordings on Resemble AI

List recordings for a voice

list

List voices on Resemble AI

List all custom and system voices

speech

Speech to speech on Resemble AI

Transform an input audio file into a target voice (STS)

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 AutoGen via MCP

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

01

Install AutoGen

Run pip install "autogen-ext[mcp]"
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration
04

Explore tools

The workbench discovers 16 tools from Resemble AI automatically

Why Use AutoGen with the Resemble AI MCP Server

AutoGen provides unique advantages when paired with Resemble AI through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Resemble AI tools to solve complex tasks

02

Role-based architecture lets you assign Resemble AI tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Resemble AI tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Resemble AI tool responses in an isolated environment

Resemble AI + AutoGen Use Cases

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

01

Collaborative analysis: one agent queries Resemble AI while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Resemble AI, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Resemble AI data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Resemble AI responses in a sandboxed execution environment

Example Prompts for Resemble AI in AutoGen

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

01

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

02

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

03

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

Troubleshooting Resemble AI MCP Server with AutoGen

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

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Resemble AI + AutoGen FAQ

Common questions about integrating Resemble AI MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Resemble AI tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

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