How to Use the EX.CO Video Experience MCP in CrewAI

Q: How do I add EX.CO Video Experience to my CrewAI agents?

Pass the server URL in the mcps list of your Agent configuration. CrewAI handles the transport and makes the tools available to your agents.

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Connect EX.CO Video Experience MCP to CrewAI

Create your Vinkius account to connect EX.CO Video Experience 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 EX.CO Video Experience with CrewAI

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Perplexity

Specialized video auditing crews

Assign a monitor agent to use `quick_video_performance_audit` while a moderator agent uses `get_video_detailed_data` to fix issues. They share memory to keep the whole team informed. This allows for hierarchical execution where one agent identifies a problem and the other resolves it. Your crew functions as a single unit managing your EX.CO environment.

Automated library and playlist maintenance

Deploy a crew to sync content by calling `list_video_library` and `list_video_playlists` regularly. They can identify stale content and move it to the correct distribution channels automatically. It keeps your library clean without human intervention. You define the agents and their roles, and they handle the daily maintenance tasks using the available tools.

Real-time content intelligence for agents

Equip your research agents with `get_content_detailed_intelligence` to gather deep insights on interactive content. They can analyze poll results and quiz performance to inform future strategy. This provides your crew with the data they need to make autonomous decisions. They act on the information retrieved from the EX.CO API to optimize your video content strategy.

Setup guide

Set up EX.CO Video Experience 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 EX.CO Video Experience tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent EX.CO Video Experience 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 EX.CO Video Experience. 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 EX.CO Video Experience MCP in CrewAI

Pass the server URL in the `mcps` list of your Agent configuration. CrewAI handles the transport and makes the tools available to your agents.

Yes. You can assign specific tools to specific agents within your crew to ensure each agent has the right permissions for their role.

The MCP Server allows for tool filtering. You can expose only the necessary tools to the manager agent and sub-agents to maintain strict task delegation.

It does. By using shared memory, your agents can pass the results of `get_video_analytics_summary` between them to build a full picture of performance.

All communication occurs over a secure, authenticated channel. The server only accesses your video engagement and settings data when an agent invokes a tool.

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