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How to Use the Cincopa MCP in CrewAI

Deploy an autonomous crew of agents to manage your Cincopa media library with CrewAI.

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CrewAI

Connect Cincopa MCP to CrewAI

Create your Vinkius account to connect Cincopa 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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Assemble a Specialist Media Team

With CrewAI, you don't just get one agent; you build a team. Create a 'Librarian' agent that uses `list_cincopa_assets` and `get_asset_metadata` to catalog your library. It can pass a summary to a 'Publisher' agent, all communicating via one Cincopa MCP Server. The Publisher agent's job is to act. It can take the list of new assets, find a template with `list_cincopa_templates`, and then create a new gallery using `create_new_gallery`. Each agent has a clear role.

Automate Content Moderation and Cleanup

Set up a 'Moderator' agent that periodically scans assets. It could use `get_asset_metadata` to check for missing descriptions or tags. When it finds an issue, it can delegate the task to a 'Cleanup' agent. This Cleanup agent has one job: fix or remove assets. It could be given permission to use `delete_media_asset` on items that are old or flagged by the Moderator. This divides the labor, letting you build a more complex and reliable operation.

Run Sequential Publishing Workflows

CrewAI supports sequential tasks, which is perfect for publishing. The first agent in the sequence can be tasked with getting an upload link via `get_media_upload_url` and uploading a new video. Once that task is complete, it hands off to the next agent. The second agent's job is to verify the upload with `get_asset_metadata` and then use `get_gallery_details` to add it to the correct gallery. It's an assembly line for your content.

Setup guide

Set up Cincopa MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

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

  2. 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. 3

    Kick off your crew

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

crew.py
from crewai import Agent, Task, Crew

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

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

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cincopa MCP in CrewAI

The simplest way is to pass your Vinkius MCP URL directly into the `mcps` list when you define an Agent. For more control, you can use `MCPServerHTTP` from `crewai.mcp` and a `tool_filter` to assign specific tools, like `delete_media_asset`, to only one specialized agent.
Yes. You can have an 'Analyst' agent use `list_cincopa_galleries` to see all the options. Based on the video's metadata or other instructions, it can then pass the correct gallery ID to a 'Publisher' agent to perform the update.
You would define multiple Agent objects in your Python script. For example, an `asset_manager` agent with access to list and get tools, and a `gallery_creator` agent with access to `create_new_gallery`. Then you define a Crew that orchestrates their collaboration.
Absolutely. One agent can be responsible for calling `list_cincopa_templates` to fetch the available designs. It can then pass the chosen template ID to another agent whose job is to execute the `create_new_gallery` tool with the correct parameters.
Your agents will be passing around information about your Cincopa media assets, galleries, and templates. This data is handled within CrewAI's shared memory and the Vinkius MCP runtime. Vinkius ensures your Cincopa secrets are isolated and never exposed to the agents directly.

Start using the Cincopa MCP today

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