How to Use the AccuLynx MCP in OpenAI Agents SDK

Push roofing leads and job data directly into your OpenAI Agents SDK workflow.

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Connect AccuLynx MCP to OpenAI Agents SDK

Create your Vinkius account to connect AccuLynx to OpenAI Agents SDK 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 AccuLynx with OpenAI Agents SDK

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Inject AccuLynx data into OpenAI agents

Your agent pulls roofing job specs using `get_job_details` without leaving your script. It validates every call against your guardrails before hitting the AccuLynx API. Use `list_payments` to feed financial records directly into your agent's decision logic. This MCP server handles the handshake so your agent stays focused on task execution.

Manage your roofing pipeline automatically

Run `create_lead` whenever your agent identifies a qualified prospect from incoming data. You avoid manual entry errors by letting the Python SDK handle the payload structure. `list_leads` gives your agent a pulse on the current sales backlog. It updates your local state based on actual records stored in your AccuLynx account.

Track roofing performance with precision

Monitor every financial milestone by calling `list_payments` within your agent flow. The OpenAI Agents SDK maps these records to your internal objects for immediate analysis. This MCP setup ensures your agent has the right context for every roofing job. You get clean, validated data ready for your next production step.

Setup guide

Set up AccuLynx MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all AccuLynx tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives AccuLynx tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate AccuLynx tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="AccuLynx Agent",
            instructions="You have access to AccuLynx tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about AccuLynx MCP in OpenAI Agents SDK

You instantiate an MCPServerStreamableHttp object with your endpoint URL. Pass this instance into your Agent constructor's mcp_servers list to enable tool discovery.

Yes, the SDK uses built-in guardrails to validate every action before execution. This prevents unauthorized calls to your AccuLynx account tools.

Absolutely. The server is designed for async context managers, keeping your agent's execution loop non-blocking while it fetches job details.

Set cacheToolsList=True when configuring your server instance. This speeds up your agent's startup time by storing the tool schema locally.

Your roofing job records and payment files stay within your defined execution boundary. We use ephemeral sessions to ensure no data persists after your agent finishes its task.

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