How to Use the Structured MCP in CrewAI

Q: How do I initiate planning with Structured and crewai?

Use Agent Alpha (Planner) to run listplans first, then use createplan if the team determines a new structure is required. The agents handle this sequence automatically.

Q: Can specialized agents manage tasks in Structured using crewai?

Yes. Assign Agent Beta to run gettaskdetails, and then let it execute updatetask. This replicates a dedicated specialist managing the task lifecycle independently.

Q: What is the best way for multiple agents to view all tasks with Structured and crewai?

The Reporter Agent can use listtasks to gather an inventory of every current task. This centralized data pool helps coordinate complex, multi-agent operations.

Q: If I need a status report on the user using Structured and crewai?

Agent Gamma runs getuserprofile to gather personal details, which it then includes in its final report. The MCP Server makes this data available for structured reporting.

Run specialized operations across Structured using crewai's multi-agent teamwork.

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MCP Servers — Included with Plan

Connect Structured MCP to CrewAI

Create your Vinkius account to connect Structured to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Structured with CrewAI

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Coordination and Planning

Assign Agent Alpha the role of Planner. It runs `list_plans` to survey all current structures, then calls `create_plan` when a new project is needed. This simulates human-level coordination. By having specialized agents collaborate, you can ensure that planning always happens before execution begins.

Deep Task Oversight

Assign Agent Beta the role of Manager. It uses `get_task_details` to pull specific task information and then calls `update_task` if a deadline changes. The agent handles the read-modify-write cycle. If the data is wrong, it can use `list_tasks` to verify all existing tasks before reporting back.

Reporting Status

Assign Agent Gamma the role of Reporter. It runs `get_user_profile` and `list_plans` to compile a full status report. This shows how different specialized roles can access disparate data sources. This capability allows your autonomous operation to continuously monitor state without needing human intervention.

Setup guide

Set up Structured 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 Structured tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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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="Structured Analyst",
        goal="Access and analyze Structured data via MCP.",
        backstory="Expert analyst with direct Structured access.",
        tools=mcp_tools,
    )

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Structured. 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 Structured MCP in CrewAI

Use Agent Alpha (Planner) to run `list_plans` first, then use `create_plan` if the team determines a new structure is required. The agents handle this sequence automatically.

Yes. Assign Agent Beta to run `get_task_details`, and then let it execute `update_task`. This replicates a dedicated specialist managing the task lifecycle independently.

The Reporter Agent can use `list_tasks` to gather an inventory of every current task. This centralized data pool helps coordinate complex, multi-agent operations.

Agent Gamma runs `get_user_profile` to gather personal details, which it then includes in its final report. The MCP Server makes this data available for structured reporting.

This Structured MCP Server touches user profile information via `get_user_profile`. When building autonomous operations, ensure the agent only accesses necessary fields of this personal account data.

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