How to Use the WorkAdventure MCP in CrewAI

Q: Does WorkAdventure support member management when using CrewAI?

Yes. You give the 'Operations Agent' access to createmember, deletemember, and getmemberdetails. This allows your crew to autonomously handle staff changes within the virtual world.

Q: What if I need to check room variables using WorkAdventure and CrewAI?

The 'Analyst Agent' uses getroomvariables. It reads the data, processes it against predefined rules, and then reports its findings back to the moderator agent for final action.

Q: If I use WorkAdventure and CrewAI, how is data privacy managed?

This server touches member details, room variables, and world info. The crew operates based on assigned roles, which helps segment access. You must ensure the shared memory only passes necessary, de-sensitized information between agents.

Run autonomous WorkAdventure operations with CrewAI. Specialized agents collaborate to manage virtual office spaces.

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Connect WorkAdventure MCP to CrewAI

Create your Vinkius account to connect WorkAdventure 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 WorkAdventure with CrewAI

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Monitor World Status using CrewAI

Need an agent to monitor the entire virtual environment? The `get_world_info` tool lets one specialized agent pull global status reports. A monitoring agent can use this data to decide if human intervention is required. Another capability is listing available rooms via `list_rooms`. CrewAI assigns roles—say, a 'Scout Agent'—to watch these lists and report changes automatically.

Manage Membership Roster with CrewAI

The agent crew can manage the member list. Use `list_members` to research who is present, or assign a 'HR Agent' to call `create_member`. This makes managing the virtual office roster autonomous. When a change happens—like an unexpected departure—the system uses `delete_member` and shares that status across all collaborating agents via shared memory.

Analyze Room Variables with CrewAI

A specialized agent can analyze the state of a room. By calling `get_room_variables`, the 'Analysis Agent' pulls data on meeting capacity or status. It then passes this information to another agent for decision-making. If an agent needs to change something, it uses `update_room_variable`. This action is logged and available to all other agents in the crew for review.

Setup guide

Set up WorkAdventure 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 WorkAdventure tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent WorkAdventure transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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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="WorkAdventure Analyst",
        goal="Access and analyze WorkAdventure data via MCP.",
        backstory="Expert analyst with direct WorkAdventure access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent WorkAdventure transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WorkAdventure. 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 WorkAdventure MCP in CrewAI

You assign an agent with a 'Researcher' role. That agent calls `list_maps`. The results are then available to the entire crew, allowing other specialized agents to act on that initial data set.

Yes. You give the 'Operations Agent' access to `create_member`, `delete_member`, and `get_member_details`. This allows your crew to autonomously handle staff changes within the virtual world.

The 'Analyst Agent' uses `get_room_variables`. It reads the data, processes it against predefined rules, and then reports its findings back to the moderator agent for final action.

The crew runs sequentially or hierarchically. One agent researches using `list_rooms`, passes those details to a second agent that decides, and finally a third agent executes the change via an MCP Server tool call.

This server touches `member details`, `room variables`, and `world info`. The crew operates based on assigned roles, which helps segment access. You must ensure the shared memory only passes necessary, de-sensitized information between agents.

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