How to Use the Worksuite MCP in CrewAI

Q: How can I monitor Worksuite job openings using CrewAI?

You assign an agent the task of calling listjobs. This agent continuously checks for new roles, giving you a persistent monitoring system that updates when changes happen in Worksuite.

Q: Does CrewAI support listing contractor records in Worksuite?

Absolutely. You give an agent access to listtalents. This lets your crew automatically manage and report on all contractors within Worksuite without manual intervention.

Build autonomous contractors with specialized agents collaborating on Worksuite tasks via CrewAI.

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Connect Worksuite MCP to CrewAI

Create your Vinkius account to connect Worksuite 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 Worksuite with CrewAI

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Perplexity

Coordinate contractor vetting using the MCP Server.

You set up a crew where Agent A gathers data by calling `list_talents`, and Agent B analyzes specific records using `get_talent`. This collaboration means one agent can research while another verifies. The shared memory ensures that Agent B knows exactly which talent ID was found in the initial list, making the process highly coordinated.

Manage job pipeline monitoring with CrewAI.

A dedicated monitor agent watches for open roles by calling `list_jobs`. If new jobs appear, a specialized action agent can use `get_job` to pull the full details and log them. This setup creates an autonomous monitoring system that doesn't require constant human oversight.

Analyze financial records using CrewAI.

A crew can be structured where one agent calls `list_invoices` to gather all data. A second, specialized agent then takes those raw invoice IDs and uses the `get_project` tool to link them back to specific projects. This sequential execution handles complex data relationships across different Worksuite domains.

Setup guide

Set up Worksuite 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 Worksuite tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You assign an agent the task of calling `list_jobs`. This agent continuously checks for new roles, giving you a persistent monitoring system that updates when changes happen in Worksuite.

Yes. You define a process where one agent lists all projects (`list_projects`), and another specialist agent uses `get_project` to pull the deep, specific data for each entry.

Absolutely. You give an agent access to `list_talents`. This lets your crew automatically manage and report on all contractors within Worksuite without manual intervention.

The server manages financial data. You can build a workflow where one agent calls `list_payments`, providing a comprehensive list of transactions that need review.

The server exposes job, project, and task records. You can use tools like `get_project` or `list_tasks` to pull detailed information necessary for internal audits.

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