How to Use the Aconex MCP in Google ADK

Q: Can I limit the tools Aconex and Google ADK expose?

Yes, use the toolnames filter. It restricts the agent to only the functions you want to permit in your current pipeline.

Connect Aconex to the Google ADK for enterprise-grade project management and directory lookups.

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Connect Aconex MCP to Google ADK

Create your Vinkius account to connect Aconex to Google ADK 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 Aconex with Google ADK

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Sync project directories using Google ADK

Pull contact lists directly into your Google Cloud workflows. Use `search_project_directory` to find specific team members across your active sites. The ADK processes this data using your existing infrastructure. It ensures your agent has the latest info before making any decisions.

Handle project records via MCP Server

Retrieve schema details or project logos with ease. The `get_register_schema` and `get_project_logo` tools expose the metadata you need for reporting. This MCP Server acts as the bridge between your agent and the Aconex database. You get clean, typed data back every time.

Automate mailing groups in Google ADK

Organize your communication lines by calling `create_mailing_group` or `delete_mailing_group`. It keeps your team distribution lists in sync with your project state. Your agent performs these tasks based on your project logic. It removes the need for manual cleanup in the Aconex interface.

Setup guide

Set up Aconex MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Aconex tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Aconex_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Aconex tools via MCP.",
    tools=mcp_tools,
)

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Why Choose Vinkius

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Common questions about Aconex MCP in Google ADK

Define an McpToolset using your server URL. Add this toolset to your LlmAgent to start executing Aconex operations.

Yes, use the tool_names filter. It restricts the agent to only the functions you want to permit in your current pipeline.

Absolutely. You can feed project data into the massive context window to let your agent reason over complex project histories.

It does. You can use the StreamableHttpServerParameters to connect the server to your agent instance.

The server doesn't persist your user data. It acts as a stateless pass-through for queries regarding project access and contact details.

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

Mastra AI sdk-typescript

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