How to Use the Arcadia Plug MCP in OpenAI Agents SDK

Q: How do I connect Arcadia Plug to OpenAI Agents SDK?

Install openai-agents via pip. Create an MCPServerStreamableHttp instance pointing to your Vinkius endpoint, then pass it as mcpservers to your agent constructor.

Build production-grade utility tracking systems with OpenAI Agents SDK and Arcadia Plug.

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Connect Arcadia Plug MCP to OpenAI Agents SDK

Create your Vinkius account to connect Arcadia Plug 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 Arcadia Plug with OpenAI Agents SDK

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Map utility footprints with OpenAI Agents SDK

Your agents need real utility data to make energy decisions. Connecting this MCP server gives them immediate access to `list_accounts` and `list_meters` across your entire organization. The SDK auto-discovers these tools without manual configuration. Just set up your agent, pass the server instance, and it starts pulling historical usage data directly into your prompt context.

Validate statements before payment execution

Production systems require safety guardrails. When your billing agent runs `get_statement`, OpenAI's framework validates the action before any data moves over the wire. You get full tracing in the OpenAI dashboard. If an agent tries to pull a bill for an unverified account, the built-in safety constraints block the request and log the attempt for review.

Handoff utility credentials safely

Multi-agent systems shine when specialized actors handle specific tasks. A credential-manager agent can run `list_credentials` and pass verified access states to a reporting agent downstream. Running `get_account_check` ensures the connection is active before the handoff happens. This prevents other agents from failing on expired utility logins halfway through a run.

Setup guide

Set up Arcadia Plug 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 Arcadia Plug tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Arcadia Plug 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="Arcadia Plug Agent",
            instructions="You have access to Arcadia Plug 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 Arcadia Plug MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Create an `MCPServerStreamableHttp` instance pointing to your Vinkius endpoint, then pass it as `mcp_servers` to your agent constructor.

Setting up custom integrations takes weeks of API wrangling. You get immediate access to utility bills and meter data without writing a single line of parsing logic.

The framework logs every single MCP interaction automatically. You can see exactly when your agent called `list_statements` and what data it received in the OpenAI dashboard.

Your agents can pull historical statements, check account statuses, and list active meters. They also have tools to verify login credentials and map organizational accounts.

Every request runs inside a V8 Isolate Sandbox. When your agent pulls sensitive utility logins, the execution environment spins up just for that task and dies immediately after, leaving no traces.

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