How to Use the Creatomate MCP in CrewAI

Q: Can CrewAI handle bulk video rendering tasks in parallel?

Yes. Your agents can trigger multiple rendervideo tasks and monitor their progress by polling getrenderstatus asynchronously.

Q: Can I limit which tools my CrewAI agents can access?

Yes. You can use the toolfilter option in CrewAI's HTTP client to expose only specific tools, like restricting a research agent to just listvideotemplates.

Deploy a team of specialized CrewAI agents to coordinate, script, and render marketing videos via this MCP Server.

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Connect Creatomate MCP to CrewAI

Create your Vinkius account to connect Creatomate 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 Creatomate with CrewAI

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Multi-agent video production teams

Build a crew where one agent writes the script, another selects the assets, and a third handles the rendering with `render_video` over MCP. This division of labor lets each agent focus on its specialized task. If the output doesn't meet quality standards, a moderator agent checks `get_render_status` and triggers a rebuild with modified parameters. The entire loop runs autonomously without human intervention.

Automated template selection using CrewAI

Let your CrewAI research agent find the best template for a campaign by calling `search_templates_by_name`. It scans your project for layouts matching your target platform. Once it identifies a template, it passes the ID to the video editor agent, who uses `get_template_details` to understand what text and image slots need to be filled. This handoff happens instantly within the crew's shared memory.

Autonomous media asset coordination

Your media manager agent can audit your project library by calling `list_media_assets`. It identifies which background tracks and overlays are available for the creative team. Next, the manager coordinates with the scriptwriter agent to match audio tracks with the written content. The final call to `render_video` uses the correct asset IDs automatically.

Setup guide

Set up Creatomate 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 Creatomate tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Creatomate 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="Creatomate Analyst",
        goal="Access and analyze Creatomate data via MCP.",
        backstory="Expert analyst with direct Creatomate access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Creatomate 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 Creatomate. 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 Creatomate MCP in CrewAI

Yes. You can pass the MCP Server URL to your crew configuration, allowing both your editor agent and manager agent to call tools like `render_video` or `list_media_assets`.

Your crew inspects the layout options using the MCP tools. The agent first calls `get_template_details` to inspect the structure, which returns the exact keys for text, images, and colors that can be modified.

Yes. Your agents can trigger multiple `render_video` tasks and monitor their progress by polling `get_render_status` asynchronously.

Yes. You can use the `tool_filter` option in CrewAI's HTTP client to expose only specific tools, like restricting a research agent to just `list_video_templates`.

Every render task, template detail, and media asset URL is processed entirely through secure, ephemeral V8 isolates. Vinkius ensures that your Creatomate API keys and generated MP4 outputs are never logged, cached, or exposed to third-party networks.

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