How to Use the Troops MCP in CrewAI

Q: How do I automate candidate record keeping with Troops and CrewAI?

You define multiple roles: one agent uses createcandidate to register new people, and another uses getcandidate to verify the data. This collaboration ensures comprehensive coverage of your hiring pipeline.

Q: Can I run job posting workflows with Troops and CrewAI?

Absolutely. You can set up a sequence where one agent runs listjobs to check current openings, and another uses that list to initiate new postings via createjob if necessary.

Q: If I need to process payroll data with Troops and CrewAI, what tools do I use?

You'll combine submittimesheet for hours worked and then pass the resulting total through the system that uses generatecontract to create an official pay stub or record.

Run full autonomous recruitment pipelines using CrewAI agents and Troops.

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Connect Troops MCP to CrewAI

Create your Vinkius account to connect Troops 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 Troops with CrewAI

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Autonomous Candidate Sourcing

You can assign an agent to run `get_candidate` repeatedly, simulating a monitoring role. Another specialized agent then uses the retrieved data from `create_candidate` to update records. This gives you true automation: one agent researches candidate availability while another handles the record creation based on predefined rules.

Managing Job Pipelines

A 'Job Manager' agent can run `list_jobs`, filtering by status. Then, a separate 'Recruiting Agent' checks if a suitable job exists using this data. The pipeline is powerful because you don't just list jobs; you analyze the results and decide the next action based on that analysis.

End-to-end HR Automation

The `generate_contract` tool allows one agent to draft a contract. A second, 'Compliance Agent' then verifies all required fields are present before handing it off for final action. Finally, an 'Action Agent' can use the `sign_contract` function once verification is complete. It’s a full sequence of specialized roles.

Setup guide

Set up Troops 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 Troops tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You define multiple roles: one agent uses `create_candidate` to register new people, and another uses `get_candidate` to verify the data. This collaboration ensures comprehensive coverage of your hiring pipeline.

Absolutely. You can set up a sequence where one agent runs `list_jobs` to check current openings, and another uses that list to initiate new postings via `create_job` if necessary.

This MCP Server handles key HR records: candidate profiles (data type), job descriptions, finalized contracts, and timesheet submissions. The agents work with these specific datasets.

You'll combine `submit_timesheet` for hours worked and then pass the resulting total through the system that uses `generate_contract` to create an official pay stub or record.

The server touches candidate details, job listings, contracts, and timesheets. The autonomous agents only access what's required for their specific role in the workflow.

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