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How to Use the AccuLynx MCP in Google ADK

Connect AccuLynx roofing operations to your Google ADK infrastructure.

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Google ADK

Connect AccuLynx MCP to Google ADK

Create your Vinkius account to connect AccuLynx 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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Sync AccuLynx records with Google ADK

Fetch specific roofing job technical milestones using `get_job_details` inside your Google Cloud pipeline. The ADK maps these directly to your existing data structures. `list_payments` provides granular financial data for your agent to process. You bridge your ERP operations and cloud analytics with a single toolset.

Automate roofing sales with Google ADK

Use `create_lead` to push new prospects into your AccuLynx pipeline from your agent. It handles the input requirements so you don't have to write custom wrappers. `list_leads` allows your agent to scan for open roofing projects. Your Google ADK environment gains visibility into your sales backlog instantly.

Execute roofing queries through Google ADK

The McpToolset connects your agent to the AccuLynx API with minimal config. You filter specific tools using tool_names to restrict what your agent can touch. Every interaction with `list_payments` or `get_job_details` stays contained within your Google Cloud environment. It makes your agent smarter by grounding it in real job data.

Setup guide

Set up AccuLynx 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. 1

    Install Google ADK

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

  2. 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. 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. 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 AccuLynx 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="AccuLynx_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AccuLynx tools via MCP.",
    tools=mcp_tools,
)

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

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AccuLynx MCP in Google ADK

You initialize a McpToolset using your server URL parameters. This toolset is then passed into your LlmAgent to provide direct access to AccuLynx functions.
Yes, use the tool_names filter when setting up your McpToolset. This limits the agent to only the specific AccuLynx operations you define.
Gemini models can handle 1M+ tokens, making them perfect for parsing massive AccuLynx job histories. Your agent can digest entire project timelines at once.
The server uses Vinkius-managed endpoints with strict token auth. Your connection is authenticated, encrypted, and isolated within our sandbox.
Your payment data is processed in memory during the agent's reasoning cycle. It is never logged or stored by the transport layer, keeping your financial records isolated.

Start using the AccuLynx MCP today

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