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 CrewAI 6 tools — connect in under 2 minutes

Name: Arcadia Plug
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to Arcadia Plug through Vinkius, pass the Edge URL in the `mcps` parameter and every Arcadia Plug tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Arcadia Plug Specialist",
    goal="Help users interact with Arcadia Plug effectively",
    backstory=(
        "You are an expert at leveraging Arcadia Plug tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Arcadia Plug "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

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.

When paired with CrewAI, Arcadia Plug becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Arcadia Plug tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from Arcadia Plug

Why Use CrewAI with the Arcadia Plug MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Arcadia Plug through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Arcadia Plug + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Arcadia Plug for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Arcadia Plug, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Arcadia Plug tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Arcadia Plug against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Arcadia Plug MCP Tools for CrewAI (6)

These 6 tools become available when you connect Arcadia Plug to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Arcadia Plug + CrewAI FAQ

Common questions about integrating Arcadia Plug MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.