How to Use the HeyGen MCP in Pydantic AI

Q: How do I initialize HeyGen with Pydantic AI?

Install pydantic-ai-slimmcp and create an MCPToolset pointing to your endpoint URL. Pass it into your Agent via the toolsets parameter.

Q: Can Pydantic AI check my HeyGen credit balance?

Yes. The getapiprofile tool returns your current account information. You can write a dependency that checks this balance before allowing the agent to run.

Q: Does the Pydantic AI agent know when the HeyGen video is done?

It must call getvideostatus to find out. The tool returns completed along with the URL, at which point your type-safe agent can safely parse the response.

Enforce strict runtime validation on your HeyGen video generation workflows using this MCP Server and Pydantic AI.

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Setup HeyGen with Pydantic AI

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Validate Template Payloads via MCP Server

The `get_template_details` tool exposes the exact structure and variable definitions of a HeyGen layout. Your agent reads this schema, constructs the variable mapping, and fires it into `generate_from_template` as a JSON string. Because you are using Pydantic AI, any mismatch between the expected template variables and the agent's payload triggers a loud validation error. The framework stops execution immediately rather than silently generating a broken video with missing text fields.

Construct Complex Scenes Safely

You call `generate_video` for a manual trigger through the MCP tool, passing scene layouts and avatar settings in the `body_json` argument. The agent uses `list_avatars` to guarantee it passes a valid ID into the configuration. This requires precision. A hallucinated parameter in the JSON body will cause the API to reject the request. Pydantic AI ensures the agent adheres strictly to the required schema, making it safe to use across OpenAI, Anthropic, or local models without fear of malformed payloads.

Track and Localize Video Assets

The `translate_video` tool accepts a JSON configuration to convert an existing video into a new language while maintaining lip-sync. The agent builds this payload and monitors the result using `get_video_status`, extracting the URL when it completes. You can also audit your account usage by calling `list_videos` and `list_streaming_history`. The agent retrieves these logs, validates the response against your Pydantic models, and formats them for your internal dashboards.

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-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

Install `pydantic-ai-slim[mcp]` and create an `MCPToolset` pointing to your endpoint URL. Pass it into your Agent via the `toolsets` parameter.

Yes. The `get_api_profile` tool returns your current account information. You can write a dependency that checks this balance before allowing the agent to run.

If the agent attempts to use an invalid ID, the API will fail. You should force the agent to call `list_avatars` first and validate the selected ID against the returned list before proceeding.

It must call `get_video_status` to find out. The tool returns completed along with the URL, at which point your type-safe agent can safely parse the response.

The MCP endpoint processes your specific JSON variables, scene definitions, and avatar IDs. Vinkius isolates every request in a V8 sandbox that destroys itself immediately after execution, leaving no persistent cache.

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