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Synthesia 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 Synthesia through the 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 Synthesia "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
Synthesia
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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 Synthesia MCP Server

Bring the full power of synthetic enterprise video generation directly into your conversational environment with the Synthesia MCP connector. By granting your LLM authorized operational access to the Synthesia API matrix, you transform your assistant into a virtual studio director. Programmatically retrieve active templates, inspect available voice models, spawn new avatar streams from zero, or dub existing media seamlessly without navigating away from your terminal interface.

Pydantic AI validates every Synthesia tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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

  • Virtual Directing — Instantiate real-time video renderings using create_avatar_video, mapping structural inputs to specific avatar matrices found via list_avatars.
  • Template Automation — Process repetitive layouts logically calling create_video_from_template, assigning JSON payloads seamlessly over defined blueprints.
  • Studio Lifecycle Management — Query active rendering progress cleanly with get_video_details and prune discarded tracks strictly invoking delete_video.
  • Localization & Dubbing — Effortlessly pull native voice ranges (list_voices) and trigger AI localized dubbing routines targeting existing records utilizing dub_video.

The Synthesia 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 Synthesia to Pydantic AI via MCP

Follow these steps to integrate the Synthesia 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 Synthesia with type-safe schemas

Why Use Pydantic AI with the Synthesia MCP Server

Pydantic AI provides unique advantages when paired with Synthesia 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 Synthesia 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 Synthesia connection logic from agent behavior for testable, maintainable code

Synthesia + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Synthesia MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Synthesia MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Synthesia to Pydantic AI via MCP:

01

create_avatar_video

Returns a video ID. Creates an AI avatar video from a script

02

create_video_from_template

Returns a video ID. Creates a video using a pre-defined Synthesia template

03

delete_video

This action is irreversible. Permanently deletes a Synthesia video

04

dub_video

Dubs an existing video into another language

05

get_template_details

Retrieves details for a specific template

06

get_video_details

Retrieves status and details for a specific video

07

list_avatars

Lists all available AI avatars

08

list_templates

Lists available video templates

09

list_videos

Lists all videos in the account

10

list_voices

Lists available AI voices

Example Prompts for Synthesia in Pydantic AI

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

01

"Give me a list of internal AI video templates, select one related to 'customer support', and execute a creation pass using proper test inputs."

02

"List the available AI avatars, focusing on professional corporate styles."

03

"Check the status of my recent video task 'vid-9920'."

Troubleshooting Synthesia MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Synthesia + Pydantic AI FAQ

Common questions about integrating Synthesia 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 Synthesia MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Synthesia to Pydantic AI

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