How do I find my Wing Assistant API Token?

Log in to your Wing Assistant dashboard, navigate to the API section in your settings, and you will find your unique Bearer Access Token listed there.

Does this work with human-assisted tasks?

Yes! Wing Assistant specializes in providing managed human talent. This integration allows you to send tasks to those real assistants via your AI agent.

INSTANT PLUG AND PLAY

Wing Assistant MCP Server for CrewAIGive CrewAI instant access to 6 tools to Create Task, Get Assistant, Get Task Status, and more

Name: Wing Assistant
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to Wing Assistant through Vinkius, pass the Edge URL in the `mcps` parameter and every Wing Assistant tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The Wing Assistant app connector for CrewAI is a standout in the Industry Titans category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Wing Assistant Specialist",
    goal="Help users interact with Wing Assistant effectively",
    backstory=(
        "You are an expert at leveraging Wing Assistant tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Wing Assistant "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

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

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About Wing Assistant MCP Server

Connect your Wing Assistant account to any AI agent to automate your delegation workflows and manage your virtual team. Wing provides a managed service that combines AI efficiency with human expertise, and this integration allows you to interact with your assistants through natural conversation.

When paired with CrewAI, Wing Assistant becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Wing Assistant tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Assistant Orchestration — List all your active virtual assistants and retrieve detailed metadata about their roles and skills.
Task Delegation — Delegate new units of work by creating tasks directly in your assistant's queue with clear instructions and priorities.
Real-time Lifecycle Control — Update task details, instructions, and statuses programmatically to ensure project alignment.
Operational Monitoring — Track task progress and history across your entire workspace to stay updated on your virtual team's output.
Resource Navigation — Monitor your assistant's current workload and capacity to optimize your delegation strategy.

The Wing Assistant MCP Server exposes 6 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Wing Assistant tools available for CrewAI

When CrewAI connects to Wing Assistant through Vinkius, your AI agent gets direct access to every tool listed below — spanning virtual-assistant, task-delegation, outsourcing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_task

Provide title and description. Create a new task for an assistant

get_assistant

Get details of a specific assistant

get_task_status

Get current status of a unit of work

list_assistants

List all active virtual assistants

list_tasks

List all tasks assigned to assistants

update_task

Update an existing task

Connect Wing Assistant to CrewAI via MCP

Follow these steps to wire Wing Assistant into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from Wing Assistant

Why Use CrewAI with the Wing Assistant MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Wing Assistant through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Wing Assistant + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Wing Assistant MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Wing Assistant for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Wing Assistant, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Wing Assistant tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Wing Assistant against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Wing Assistant in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Wing Assistant immediately.

"Create a new task for my virtual team to 'Compile a list of 50 local real estate agencies in Miami' and include detailed instructions to find their contact emails."

"Check the status of task ID 'TSK-8492' and if it's still pending, update the priority instructions to 'Urgent - Need by EOD today'."

"Show me the current workload and active tasks assigned to my assistant 'Maria'."

Troubleshooting Wing Assistant MCP Server with CrewAI

Common issues when connecting Wing Assistant to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Wing Assistant + CrewAI FAQ

Common questions about integrating Wing Assistant MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.