How to Use the Wing Assistant MCP in CrewAI

Q: How does Wing Assistant help manage complex operations in CrewAI?

The MCP Server allows you to define goals using createtask, which becomes the central objective for your agent crew. The tools enable monitoring and updating of that goal throughout the autonomous process.

Q: Can I list all agents available when using Wing Assistant and CrewAI?

Yes, use listassistants. This gives you an inventory of every virtual assistant. Your agent framework reads this list to ensure the right specialists are assigned to the crew.

Q: If I need to check task progress using Wing Assistant and CrewAI, what do I call?

Call gettaskstatus. This provides a real-time status report on any unit of work. The monitor agent uses this data point to decide if the crew needs to take further action.

Q: How do I modify a running operation using Wing Assistant and CrewAI?

Use updatetask. This tool allows you to change an existing task's details. The crew picks up these updated parameters, adjusting their collaborative efforts instantly.

Run autonomous, collaborative operations across specialized agents using CrewAI and Wing Assistant.

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Setup Wing Assistant with CrewAI

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Coordinate Agent Teams

Define a new operation by calling `create_task`, providing the overarching goal in both the title and description. This task then becomes the shared objective for your specialized crew agents to work toward. If monitoring is needed, you can use `list_tasks` to see all current assignments across the entire team. This helps the monitor agent track which operations are active.

Check Agent Availability

To ensure your specialized roles are ready, call `list_assistants`. This gives a comprehensive view of every virtual assistant available in the system. Your moderator agent uses this to confirm all necessary roles are online. Need specific details? The `get_assistant` tool pulls all metadata for one agent. CrewAI can then use this data to assign that role within the operational pipeline.

Adjusting Operational Goals

If a plan changes mid-run, you adjust it using `update_task`. This function modifies an existing task's parameters. The entire crew then picks up the revised instructions and continues its work. Checking progress is straightforward with `get_task_status`. This gives the current state of the job, which a monitor agent can use to decide if escalation or further action is required.

Setup guide

Set up Wing Assistant 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 Wing Assistant tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

The MCP Server allows you to define goals using `create_task`, which becomes the central objective for your agent crew. The tools enable monitoring and updating of that goal throughout the autonomous process.

Yes, use `list_assistants`. This gives you an inventory of every virtual assistant. Your agent framework reads this list to ensure the right specialists are assigned to the crew.

Call `get_task_status`. This provides a real-time status report on any unit of work. The monitor agent uses this data point to decide if the crew needs to take further action.

This MCP Server deals with task records and assistant metadata. Specifically, it handles the creation and modification of tasks, which are structured by title and description.

Use `update_task`. This tool allows you to change an existing task's details. The crew picks up these updated parameters, adjusting their collaborative efforts instantly.

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