How to Use the Frame.io MCP in CrewAI

Coordinate specialized agent crews in CrewAI to manage Frame.io assets. Scale your video production without manual oversight.

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Connect Frame.io MCP to CrewAI

Create your Vinkius account to connect Frame.io 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 Frame.io with CrewAI

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Specialized asset monitoring for CrewAI

Deploy a dedicated agent to watch for new uploads using `list_assets`. It identifies files and hands them off to the next agent in your crew for review. This specialization keeps your agents focused. One agent handles the technical metadata via `get_asset_details` while another manages communication with the team.

Autonomous review cycles in CrewAI

Use `list_review_links` to gather active drafts for your moderator agent. It checks the status and decides whether to escalate the asset for final approval. This removes the manual bottleneck of checking links. Your agents handle the heavy lifting, logging their progress directly to the asset timeline using `add_comment`.

Collaborative project scaling in CrewAI

Assign agents to manage different teams by iterating through `list_teams` and `list_projects`. They share memory, so an action in one project informs the next. It’s designed for high-volume studios. You define the hierarchy, and the agents execute the steps to keep your folder structure and asset logs in sync.

Setup guide

Set up Frame.io 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 Frame.io tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Absolutely. You can pass the server URL directly to your agents, allowing them to collaborate on asset management tasks across your entire project.

Agents share the MCP Server connection. You can restrict which agent has access to sensitive tools like `add_comment` to maintain control.

It does. Each agent receives the results from the previous one, ensuring that your workflow stays logical and consistent from start to finish.

You can. Since the agents share memory, you can assign a supervisor agent to log all tool calls and verify that work is being completed.

The server runs in an ephemeral Vinkius sandbox. Your project IDs and asset lists are never stored long-term, and only the authorized agent can interact with them.

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