How to Use the D-ID MCP in AutoGen

Q: Can an AutoGen agent check D-ID credit balances?

Yes, agents can run getcredits to check your balance. This allows a supervisor agent to block video generation calls if your account is running low on credits, preventing API errors during execution.

Q: How do AutoGen agents handle custom avatars in D-ID?

An agent can take a local image path, run uploadimage to get a remote URL, and pass that URL into createtalk. This lets your agents programmatically create custom talking heads from any provided image.

Q: How do I wait for a video clip to finish rendering?

Your agent can poll the status using getclip or gettalk. These tools return status updates and the final video URL once the rendering process transitions to the done state.

Build AutoGen multi-agent systems that coordinate, debate, and generate D-ID avatar videos.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect D-ID MCP to AutoGen

Create your Vinkius account to connect D-ID to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup D-ID with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate video production across AutoGen agents

Coordinate video generation across agents using `list_presenters` and `create_talk`. Let multiple agents debate and refine video creation. By connecting your agents to this MCP Server, one agent can write the script, a second agent can select the best presenter, and a third agent can trigger the video render. This collaborative approach ensures high-quality outputs. Dividing script writing, asset management, and video generation lets your agents review each other's decisions before committing credits to a video render.

Upload custom assets and generate speech-synced video

Upload custom face images and generate speech-synced video using `upload_image` and `create_talk_audio`. Let your agents handle complex media assets. A creative agent can upload a custom face image using the MCP Server, while another agent provides the voice track for perfect lip-syncing. For faster turnarounds, agents can bypass custom uploads and call `create_clip` to generate videos with built-in stock presenters. They can monitor the build status using `get_clip` or `get_talk` and notify the team when it finishes.

Manage video lifecycles and monitor credit limits

Manage video lifecycles and monitor credit limits using `list_talks` and `get_credits`. Keep your video workspace clean without manual intervention. Your AutoGen agents can track current projects using the list tool on this MCP Server and run `delete_talk` on videos that are no longer needed. Budgeting is handled automatically. An agent can check your remaining balance before starting a large video queue, preventing failed runs and keeping your team informed of resource usage.

Setup guide

Set up D-ID MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes D-ID tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="D-ID_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent D-ID data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="D-ID_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent D-ID data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by D-ID. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect D-ID now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about D-ID MCP in AutoGen

Look, you assign different tools to different agents. For example, your scriptwriter agent can write the prompt, while your video producer agent uses `create_talk` to generate the video and `get_talk` to monitor the render status.

Yes, agents can run `get_credits` to check your balance. This allows a supervisor agent to block video generation calls if your account is running low on credits, preventing API errors during execution.

An agent can take a local image path, run `upload_image` to get a remote URL, and pass that URL into `create_talk`. This lets your agents programmatically create custom talking heads from any provided image.

Your agent can poll the status using `get_clip` or `get_talk`. These tools return status updates and the final video URL once the rendering process transitions to the done state.

Completely. Vinkius runs this MCP Server in an isolated, ephemeral sandbox environment. Your D-ID API keys, uploaded face images, and audio tracks are processed securely and are never stored or logged on our infrastructure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript