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How to Use the AccuLynx MCP in AutoGen

Run multi-agent debates over your AccuLynx roofing leads and financial records in AutoGen using this MCP Server.

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AutoGen

Connect AccuLynx MCP to AutoGen

Create your Vinkius account to connect AccuLynx 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.

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AutoGen lead validation debates

This setup uses the `create_lead` tool to register new roofing prospects after a multi-agent consensus is reached. A sales agent drafts the lead details, while a validation agent reviews the first and last name for accuracy. Once both agents agree the data is clean, the tool is executed to insert the lead into the AccuLynx pipeline. This prevents messy, duplicate, or incomplete contact records from entering your database.

Multi-agent roofing job analysis via MCP Server

This configuration runs the `get_job_details` tool to retrieve technical roofing milestones and metadata for a specific job ID. Multiple AutoGen agents then analyze these details from different perspectives. For example, your operations agent checks the timeline while your billing agent flags potential delays. They discuss the project status in a shared thread before presenting a unified report to the user.

Automated financial audits with AutoGen

This integration uses the `list_payments` tool to pull financial records and transactions for active roofing jobs using this secure MCP tool. Your auditor agent checks the paid balances against the job milestones retrieved from the database. If a discrepancy is found, the agents debate the best resolution strategy before drafting a client notice. This ensures your financial reporting is thoroughly vetted before any human sees it.

Setup guide

Set up AccuLynx MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install AutoGen with MCP

    Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.

  2. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes AccuLynx tools and returns structured results.

agent.py
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="AccuLynx_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent AccuLynx data")
print(result.messages[-1].content)

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Common questions about AccuLynx MCP in AutoGen

Install the AutoGen MCP extension and use the `mcp_server_tools` helper to fetch the roofing tools. Pass this generated tool list directly to your AssistantAgent constructor.
Yes, your agents will discuss the lead details in a group chat to ensure the first and last name are accurate. Only after reaching a consensus will the designated executor agent trigger the tool.
If the tool fails due to an invalid Job ID, the error message is fed back into the agent conversation. The agents will then debate how to locate the correct ID or ask the user for clarification.
Yes, you can connect using Streamable HTTP params or standard I/O pathways. The adapter handles schema translation automatically so your agents can focus on executing tools.
Your lead names and financial records are processed strictly within memory during the agent conversation. No roofing data is written to persistent logs or shared outside your secure V8 execution sandbox.

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