How do I get my Arcadia Client ID and Secret?

You can find your API credentials in the [Arcadia Dashboard](https://dashboard.arcadia.com/) under the **Settings > API Keys** section.

Does this server support high-resolution interval data?

While the `list_meters` tool shows meter details, high-resolution interval data (15-min or hourly) requires explicit activation for each meter in the Arcadia platform.

Which utility providers are supported?

Arcadia supports hundreds of utility providers across the US and globally. If a provider is linked to your Arcadia account, you can access its data via this server.

Arcadia Plug MCP Server for LlamaIndex 6 tools — connect in under 2 minutes

Name: Arcadia Plug
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 6 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Arcadia Plug as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Arcadia Plug. "
            "You have 6 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Arcadia Plug?"
    )
    print(response)

asyncio.run(main())

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About Arcadia Plug MCP Server

The Arcadia Plug MCP Server provides a direct natural language interface to your Arcadia utility data platform. Empower your AI agent to retrieve historical utility bills, monitor meter readings, and audit utility credentials across multiple providers without leaving your workflow.

LlamaIndex agents combine Arcadia Plug tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

Key Features

Account Management — List all linked utility accounts and access detailed metadata including account numbers and statuses.
Statement Retrieval — Access historical utility bills and statements, providing total charges and billing periods.
Meter Monitoring — List individual meters and service points associated with your accounts for granular usage tracking.
Credential Oversight — Track and manage the utility portal credentials used to fetch your data.
Unified Data Access — Interface with hundreds of utility providers through a single, consistent API.
Secure OAuth 2.0 — Uses secure Client Credentials flow to ensure safe access to your organization's data.

The Arcadia Plug MCP Server exposes 6 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Arcadia Plug to LlamaIndex via MCP

Follow these steps to integrate the Arcadia Plug MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from Arcadia Plug

Why Use LlamaIndex with the Arcadia Plug MCP Server

LlamaIndex provides unique advantages when paired with Arcadia Plug through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Arcadia Plug tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Arcadia Plug tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Arcadia Plug, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Arcadia Plug tools were called, what data was returned, and how it influenced the final answer

Arcadia Plug + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Arcadia Plug MCP Server delivers measurable value.

Hybrid search: combine Arcadia Plug real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Arcadia Plug to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Arcadia Plug for fresh data

Analytical workflows: chain Arcadia Plug queries with LlamaIndex's data connectors to build multi-source analytical reports

Arcadia Plug MCP Tools for LlamaIndex (6)

These 6 tools become available when you connect Arcadia Plug to LlamaIndex via MCP:

get_account_check

Verify Arcadia account connection

get_statement

Get details for a specific statement

list_accounts

List all utility accounts associated with your organization

list_credentials

List all utility login credentials

list_meters

List all utility meters

list_statements

List historical utility bills/statements

Example Prompts for Arcadia Plug in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Arcadia Plug immediately.

"List all utility accounts linked to my organization."

"Show me the last 3 statements for the 'ConEd' account."

"What meters are associated with account ID 'acc_998877'?"

Troubleshooting Arcadia Plug MCP Server with LlamaIndex

Common issues when connecting Arcadia Plug to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Arcadia Plug + LlamaIndex FAQ

Common questions about integrating Arcadia Plug MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Arcadia Plug tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.