How to Use the AssessTEAM MCP in CrewAI

Q: How do I pass the AssessTEAM MCP Server endpoint to a CrewAI agent?

You can pass the Vinkius URL directly to the agent's mcps parameter during initialization, giving that specific agent immediate access to tools like listemployees.

Q: Can I limit which AssessTEAM tools a specific CrewAI agent can use?

Yes, use the MCPServerHTTP class from crewai.mcp and apply a toolfilter to only expose createtimesheetentry to your logging agent while keeping financial tools hidden.

Q: Is our employee roster and team structure data secure?

Yes. When your agents call listemployees or listorganizationalteams, the data is processed inside zero-trust, ephemeral V8 sandboxes. No employee records are ever cached or stored on Vinkius.

Deploy autonomous agent crews to audit timesheets and manage team performance reviews with CrewAI.

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Connect AssessTEAM MCP to CrewAI

Create your Vinkius account to connect AssessTEAM 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 AssessTEAM with CrewAI

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Audit timesheets autonomously with CrewAI

CrewAI lets you set up specialized agent roles that collaborate on team management. You can have an Auditor Agent pull logs using `list_timesheets` while a Manager Agent checks them against `list_employees` to find gaps. These agents share memory, meaning they remember which team members were flagged in previous runs. They work together to compile a clean list of missing hours without pinging you for every detail.

Coordinate team reviews using CrewAI

Managing reviews across massive organizations is tough. This MCP Server simplifies the process by letting a Coordinator Agent map your company structure using `list_organizational_teams` and delegate individual performance checks to sub-agents. These sub-agents pull historical reviews via `list_performance_evaluations` to draft context-aware prep materials for upcoming 360-degree reviews. The entire process runs autonomously in the background.

Monitor project budgets using this MCP Server

Keep a constant eye on project health without opening dashboards. Set up a crew where a Financial Agent tracks project lists with `list_projects` and fetches financial health data using `get_profitability_report`. If a project goes over budget, the agent alerts your team with specific details on where the hours were spent. The crew handles the data extraction and analysis autonomously.

Setup guide

Set up AssessTEAM 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 AssessTEAM tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You can pass the Vinkius URL directly to the agent's `mcps` parameter during initialization, giving that specific agent immediate access to tools like `list_employees`.

Yes, use the `MCPServerHTTP` class from `crewai.mcp` and apply a `tool_filter` to only expose `create_timesheet_entry` to your logging agent while keeping financial tools hidden.

CrewAI's shared memory allows an agent that fetched data via `list_organizational_teams` to pass that organizational context to another agent running `list_performance_evaluations`.

CrewAI supports stdio, SSE, and Streamable HTTP transports, allowing you to connect your local or cloud-hosted crews to Vinkius without changing your network setup.

Yes. When your agents call `list_employees` or `list_organizational_teams`, the data is processed inside zero-trust, ephemeral V8 sandboxes. No employee records are ever cached or stored on Vinkius.

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