How to Use the Aconex MCP in AutoGen
Resolve Aconex project setup debates and automate user invitations using AutoGen multi-agent negotiation.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Aconex MCP to AutoGen
Create your Vinkius account to connect Aconex to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Resolve Project Setup Debates with AutoGen
The `copy_project` tool executes only after your AutoGen agents agree on the correct configuration. An AutoGen project manager agent proposes a template, a compliance agent checks the setup, and they execute the Aconex clone once consensus is reached. This multi-agent negotiation prevents incorrect Aconex project settings from propagating. You build an AutoGen system that double-checks its own parameters before making any changes.
Negotiated Onboarding Workflows
The `create_user` tool triggers when your AutoGen onboarding agents confirm a new hire's credentials. An AutoGen HR agent verifies the background, while a security agent uses `search_global_directory` to ensure no duplicate Aconex accounts exist. Once both AutoGen agents approve, the system requires the Aconex MCP to execute `invite_user_to_project` to grant access. This eliminates human errors in user provisioning by requiring programmatic consensus.
Automated Status Auditing
The `update_user_status` tool allows your AutoGen agents to disable inactive accounts automatically. An AutoGen monitoring agent reviews user activity, flags dormant profiles, and debates with a security agent before changing status. The entire AutoGen conversation is logged, providing a clear audit trail of why an Aconex user was disabled. This programmatic oversight keeps your user directory clean and secure.
Set up Aconex MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Aconex tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Aconex_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Aconex data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Aconex_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Aconex data")
print(result.messages[-1].content) 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.
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Common questions about Aconex MCP in AutoGen
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