How to Use the Uscreen MCP in CrewAI

Q: What data type does Uscreen touch when using CrewAI?

The MCP Server allows agents to access collection details, content metadata, and customer profiles. This gives the crew a broad view of your e-commerce operations.

Run autonomous operations with CrewAI across Uscreen services.

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Connect Uscreen MCP to CrewAI

Create your Vinkius account to connect Uscreen 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 Uscreen with CrewAI

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Autonomous Inventory Management via MCP Server

You can set up a specialized 'Inventory Agent' that researches product status using `list_products` and then passes those results to an 'Analysis Agent'. The second agent might then call `get_content` for each item, checking if the required metadata exists. CrewAI handles this collaboration by sharing memory between agents. It’s not one agent doing everything; it's a team working in sequence or parallel.

Analyzing Uscreen Customer Statuses with CrewAI

Need to figure out who needs follow-up? Assign an 'Auditor Agent' to run `list_customers` and then delegate the analysis of their purchase history using `get_customer`. The system can automatically flag users whose subscriptions are nearing expiration. This setup is built for autonomous operations. A monitoring agent watches the entire session, ensuring that every step—from listing to analyzing—is accounted for.

Executing Uscreen Transaction Reports with CrewAI

A 'Reporting Agent' can be tasked with compiling a full picture by calling `list_transactions` and then cross-referencing those records with the details found using `get_collection`. This creates a highly structured, multi-source report. The framework manages execution flow whether you need sequential steps or parallel processing across multiple data sources.

Setup guide

Set up Uscreen 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 Uscreen tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

CrewAI treats the Uscreen MCP Server as a toolset for its specialized agents. You pass the server URL, and your autonomous crew can then use tools like `list_subscriptions` to perform their tasks.

Yes. You define roles (Researcher, Analyst, Executor), and they collaborate on a goal. The framework manages the shared memory needed for complex, multi-step operations without human intervention.

The MCP Server allows agents to access `collection` details, `content` metadata, and `customer` profiles. This gives the crew a broad view of your e-commerce operations.

CrewAI is designed for autonomous reliability. Its ability to manage shared memory means that even if one agent hits a snag, the overall operation continues or escalates appropriately.

The system requires defining clear roles and goals for your agents. The more specific you are about what they should analyze (e.g., 'list all failed transactions'), the better the results will be.

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