How to Use the Deputy MCP in CrewAI

Q: Can I restrict a specific CrewAI agent to only read Deputy MCP data?

Yes, you can use CrewAI's toolfilter to expose only read-only tools like listbusinesslocations or searchemployeesbyname to specific agents, keeping sensitive administrative tools restricted.

Deploy a crew of specialized Python agents to autonomously manage Deputy rosters with CrewAI and our MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Deputy MCP to CrewAI

Create your Vinkius account to connect Deputy 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.

GDPR Free for Subscribers

Setup Deputy with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate Shifts Autonomously with CrewAI Agents

The `list_active_rosters` tool gives your scheduling crew a real-time view of current business coverage. In this multi-agent setup, your Roster Planner agent analyzes the shifts, while your Compliance Monitor agent cross-references `list_currently_active_shifts` to verify that actual hours match planned schedules. These agents collaborate using shared memory to spot discrepancies. They resolve issues on their own, drafting updated shifts and alerting managers only when manual intervention is absolutely necessary.

Audit Payroll Data Using this Deputy MCP Server

The `list_completed_timesheets` tool acts as the primary data source for your automated payroll prep crew. Your Auditor agent pulls the timesheets, while the HR Liaison agent queries `get_employee_profile` to verify pay rates and employee classifications. This cooperative workflow catches errors before they reach your accounting software. The crew packages the verified timesheets, ensuring your payroll pipeline is clean and ready for processing.

Manage Leave Requests with Specialized CrewAI Roles

The `list_pending_leave_approvals` tool feeds incoming time-off requests directly to your autonomous leave coordination crew. Your Coverage Analyst agent cross-references the dates against `list_leave_requests` to check for department-wide conflicts. Meanwhile, the Staffing Agent scans `list_workforce_employees` to see if backup staff are available to cover the dates. The agents then present a completed coverage plan to the manager, turning a tedious review process into a simple click.

Setup guide

Set up Deputy 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 Deputy tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Deputy 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 Deputy. 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.

Why Choose Vinkius

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

Connect Deputy now

Real-time monitoring

Live

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 Deputy MCP in CrewAI

Instantiate your agent and include the Vinkius HTTP endpoint in the `mcps` array parameter. The CrewAI agent will automatically discover tools like `list_active_rosters` and use them as needed during tasks.

Yes, the agents share access to the configured tools through the framework's runtime. While one agent checks `list_currently_active_shifts`, another can simultaneously pull records via `get_employee_profile`.

The framework handles API limits through its internal execution loop. If a tool like `list_completed_timesheets` returns a rate-limiting header, the agent pauses and retries the task without failing the entire crew run.

Yes, you can use CrewAI's `tool_filter` to expose only read-only tools like `list_business_locations` or `search_employees_by_name` to specific agents, keeping sensitive administrative tools restricted.

Employee details, leave requests, and timesheets are processed transiently within your local Python runtime. No data is stored or logged on Vinkius, which operates as a stateless proxy to the API.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript