How to Use the Arcadia Plug MCP in LangChain

Q: Can Arcadia Plug trigger multiple tool calls sequentially in LangChain?

Yes. Your agent can call listaccounts first, analyze the results, and then immediately call listmeters to map the hardware for each active account.

Feed live utility statements and meter data directly into your LangChain multi-step reasoning pipelines.

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Connect Arcadia Plug MCP to LangChain

Create your Vinkius account to connect Arcadia Plug to LangChain 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 LangChain

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Build Multi-Step Utility Audits in LangChain

The `list_statements` tool pulls historical utility bills directly into your ReAct agent's context window. Your agent then feeds those bills into the next chain steps to calculate year-over-year consumption changes. LangSmith traces every step of this process. You see exactly how the agent decides to query `get_statement` after identifying an anomalous billing cycle in the summary list.

Verify Utility Credentials with LangChain MCP Server

Running `list_credentials` lets your chain inspect active utility logins before initiating deep data collection runs. If a credential fails, your agent automatically branches to run `get_account_check` and flag the disconnected account. This conditional logic runs inside a stateless MCP setup. You get clean execution paths without manual API glue code or custom error handlers.

Map Meters to Accounts using LangGraph

Pulling hardware data with `list_meters` extracts physical IDs and links them to specific utility accounts retrieved via `list_accounts`. LangGraph handles the state routing, ensuring meter data feeds into your database-writing nodes in the correct order. Combining these tools in a single graph gives your agent a complete view of your physical footprint. You avoid the headache of writing custom API wrappers for Arcadia's utility data structures.

Setup guide

Set up Arcadia Plug MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Arcadia Plug tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "arcadia-plug-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Arcadia Plug transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Arcadia Plug MCP in LangChain

Use the langchain-mcp-adapters package to initialize a MultiServerMCPClient pointing to the Vinkius MCP endpoint. Pass the tools retrieved from client.get_tools() straight into create_agent.

Yes. Your agent can call list_accounts first, analyze the results, and then immediately call list_meters to map the hardware for each active account.

LangSmith tracks the exact inputs and outputs of tools like get_statement in real-time. You can pinpoint latency spikes or malformed arguments during utility data extraction.

You can pass the utility statements fetched from this server directly to a SQL database tool or a vector store integration within the same LangChain execution loop.

Your utility logins and billing data stay locked down inside the Vinkius V8 Isolate MCP sandbox. The list_credentials tool only exposes metadata to your LangChain application over a secure, single-token connection, keeping sensitive passwords isolated.

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