How to Use the HeyGen MCP in CrewAI

Q: Can I restrict which HeyGen tools my CrewAI agents use?

Import MCPServerHTTP from crewai.mcp and apply a toolfilter. This lets you expose listtemplates to an agent while hiding the more expensive generation tools.

Q: Does this setup expose our proprietary video scripts?

Your unreleased video scripts and bodyjson scene configurations are heavily protected. The connection runs through an isolated sandbox that destroys itself immediately after the CrewAI task completes.

Deploy multi-agent teams to research, write, and produce video content autonomously with the HeyGen MCP Server and CrewAI.

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Connect HeyGen MCP to CrewAI

Create your Vinkius account to connect HeyGen to CrewAI 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 CrewAI

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Perplexity

Delegate video generation to specialized agents

The `generate_video` tool becomes the final action for your production agent. A research agent gathers facts, a writing agent drafts the script, and the producer agent constructs the `body_json` payload. They hand off data sequentially. Your crew handles the entire pipeline without human input. The producer agent selects an appropriate actor using `list_avatars`, maps the scenes, and fires the generation command. You just watch the final URL appear in the console.

Match scripts to templates automatically

Give your formatting agent access to `list_templates` and `get_template_details`. It scans the available layouts, picks the one that fits the script length, and extracts the required variable definitions. The formatting agent then formats the copy into the exact `variables_json` structure needed. It passes this validated payload to the execution agent, which calls `generate_from_template` to render the final asset.

Build a dedicated MCP Server monitoring agent

Assign a moderator agent to run `get_video_status` on a loop. While the production agent moves on to the next script, the moderator tracks the render. Once completed, it fetches the `video_url` and updates your database. This moderator also monitors your budget. By calling `get_api_profile`, it checks the remaining credit balance. If credits drop too low, it stops the production crew and alerts you via Slack.

Setup guide

Set up HeyGen MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke HeyGen tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="HeyGen Analyst",
    goal="Access and analyze HeyGen data via MCP.",
    backstory="Expert analyst with direct HeyGen access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent HeyGen transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="HeyGen Analyst",
        goal="Access and analyze HeyGen data via MCP.",
        backstory="Expert analyst with direct HeyGen access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent HeyGen transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 HeyGen. 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.

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Common questions about HeyGen MCP in CrewAI

Pass the Vinkius endpoint URL directly into the mcps array when defining your Agent. CrewAI automatically connects via Streamable HTTP or SSE and maps the available tools.

Yes. You provide the MCP connection to the entire crew. A researcher agent checks list_avatars while a separate publisher agent handles the final generate_video call.

You assign a specific task for status checking. An agent executes get_video_status periodically, allowing the rest of your crew to continue working on other scripts in the background.

Import MCPServerHTTP from crewai.mcp and apply a tool_filter. This lets you expose list_templates to an agent while hiding the more expensive generation tools.

Your unreleased video scripts and body_json scene configurations are heavily protected. The connection runs through an isolated sandbox that destroys itself immediately after the CrewAI task completes.

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