How to Use the HeyGen MCP in Pydantic AI

Q: How to verify HeyGen credentials in Pydantic AI?

Run testheygenauth as a setup task. The result is validated against your schema, confirming the API key is active.

Type-safe video automation for Pydantic AI. Ensure valid HeyGen tool execution with strict runtime schema validation.

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Connect HeyGen MCP to Pydantic AI

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

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Setup HeyGen with Pydantic AI

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Type-safe video generation in Pydantic AI

Every response from the HeyGen MCP server is validated against Pydantic models. If `generate_ai_video` returns unexpected fields, the agent catches the error immediately instead of proceeding with corrupted data. This is essential for production environments where reliability is non-negotiable. You define the expected output structure, and the framework enforces it.

Validated template orchestration with Pydantic AI

Use `list_video_templates` to fetch available designs and validate them against your internal types. This ensures your agent only uses templates that match your requirements. When you call `create_from_template`, the input parameters are checked for correctness before the request hits the network. This eliminates runtime failures.

Strict asset management for Pydantic AI

Upload assets using `upload_media_asset` with full schema verification. The system confirms your media metadata matches the expected format before the server accepts the file. This prevents silent failures in your video rendering pipeline. If the data is invalid, the agent provides a clear validation error detailing the mismatch.

Setup guide

Set up HeyGen MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "heygen-alternative-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to HeyGen tools.",
)

result = await agent.run("List recent HeyGen transactions")
print(result.output)

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Common questions about HeyGen MCP in Pydantic AI

Use the MCPToolset class with your server URL. Add the toolset to your agent instance to enable type-safe interaction.

The agent raises a validation error immediately. This stops execution, ensuring that your application state remains consistent and predictable.

Yes. Since the MCP server is model-agnostic, you can swap your underlying LLM while keeping your video generation logic intact.

Run `test_heygen_auth` as a setup task. The result is validated against your schema, confirming the API key is active.

Your video metadata, including filenames and timestamps, is validated locally before transmission. This ensures only sanitized data reaches the HeyGen server.

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