How to Use the Aconex MCP in CrewAI

Q: Can CrewAI agents invite users to Aconex?

Agents can call inviteusertoproject as part of their task sequence. You can define the criteria for when they should send an invite.

Deploy a CrewAI team to manage Aconex. Let specialized agents handle directory searches, user invites, and project updates.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Aconex MCP to CrewAI

Create your Vinkius account to connect Aconex 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 Aconex with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Collaborative Aconex management with CrewAI

Assign one agent to `list_projects` and another to `get_register_schema`. Your crew shares this context to make better decisions. This lets you delegate complex tasks to specialized agents. They work together to finish the job without you touching a single line of code.

Autonomous Aconex user provisioning for CrewAI

Give your agents access to `create_user` and `update_user_status` for hands-off management. They monitor the registry and act when needed. This keeps your project access list current. You just set the goal and let the agents handle the execution steps.

Aconex directory insights for CrewAI

Use `search_project_directory` to feed information into your agents. They use this data to identify who needs project access. This turns your agent into an active project coordinator. It finds the right people so you don't have to look them up yourself.

Setup guide

Set up Aconex 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 Aconex tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Add the Vinkius MCP Server URL to your agent configuration. CrewAI imports the tools and makes them available to your agents.

Agents can call `invite_user_to_project` as part of their task sequence. You can define the criteria for when they should send an invite.

Yes. CrewAI uses shared memory to pass results from one agent to another. This ensures every agent has the latest project state.

The agent reports the failure to the crew. You can set up a moderator agent to handle errors and retry the operation.

Your Aconex identity is restricted to your specific MCP Server instance. Vinkius ensures that your sensitive user records remain isolated from other users.

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