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D-ID MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect D-ID through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to D-ID "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in D-ID?"
    )
    print(result.data)

asyncio.run(main())
D-ID
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* 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 D-ID MCP Server

Connect your D-ID account to any AI agent and take full control of your AI video generation and digital human workflows through natural conversation.

Pydantic AI validates every D-ID tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Talking Avatar Generation — Create high-quality videos where an AI avatar speaks your text with precise lip-sync and natural expressions using Microsoft or Amazon TTS
  • Audio-to-Video Sync — Provision talking avatars from pre-recorded audio files, allowing the agent to generate videos that match your literal audio boundaries
  • Digital Presenters — List and retrieve available D-ID stock presenters including pre-built digital humans and background options for fast video production
  • Media Uploads — Upload face images to D-ID servers to use them as custom avatar sources for your personalized video content
  • Run Monitoring — Track the status of your talks and clips (created, started, done, error) and retrieve final result URLs when processing is complete
  • Credit Auditing — Get your current D-ID credit balance and plan info to verify remaining limits and manage video generation quotas

The D-ID MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 D-ID to Pydantic AI via MCP

Follow these steps to integrate the D-ID MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from D-ID with type-safe schemas

Why Use Pydantic AI with the D-ID MCP Server

Pydantic AI provides unique advantages when paired with D-ID through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your D-ID integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your D-ID connection logic from agent behavior for testable, maintainable code

D-ID + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the D-ID MCP Server delivers measurable value.

01

Type-safe data pipelines: query D-ID with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple D-ID tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query D-ID and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock D-ID responses and write comprehensive agent tests

D-ID MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect D-ID to Pydantic AI via MCP:

01

create_clip

Create a D-ID clip using a stock presenter (no image needed). Pre-built digital humans with backgrounds

02

create_talk

Create a talking avatar video using D-ID. An AI avatar speaks your text with lip-sync and natural expressions

03

create_talk_audio

Create a D-ID talking avatar from a pre-recorded audio file. Avatar lip-syncs to your audio

04

delete_talk

Delete a D-ID talk

05

get_clip

Get status of a D-ID clip. Returns status and result URL

06

get_credits

Get current D-ID credit balance and plan info

07

get_talk

Wait for creation to finish. Get status of a D-ID talk. Returns status (created/started/done/error), result_url when done

08

list_presenters

List available D-ID presenters. Returns presenter IDs, names, and preview images

09

list_talks

List all D-ID talks. Returns talk IDs, statuses, and creation timestamps

10

upload_image

Upload a face image to D-ID for use as avatar source. Returns image URL

Example Prompts for D-ID in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with D-ID immediately.

01

"Create a talking avatar video with script: 'Welcome to our new platform!'"

02

"List all available D-ID presenters"

03

"How many credits do I have left in D-ID?"

Troubleshooting D-ID MCP Server with Pydantic AI

Common issues when connecting D-ID to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

D-ID + Pydantic AI FAQ

Common questions about integrating D-ID MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your D-ID MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect D-ID to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.