How to Use the UtilityAPI MCP in CrewAI

Q: How does UtilityAPI assist CrewAI in data research?

The agent team can use getintervals to pull detailed, time-series usage readings. This is ideal for a specialized analysis agent that needs to model consumption over specific hours.

Q: What tools does UtilityAPI provide to CrewAI for managing data access?

The getevents tool allows the crew to monitor system status, detecting if an authorization was created or if a necessary historical collection failed. This feeds into the team's shared memory.

Q: When setting up a testing scenario with UtilityAPI for CrewAI, what should I use?

The testformsubmission tool is your sandbox. It returns a referral code that allows you to verify the entire workflow against simulated customer data.

Q: What kind of billing records can UtilityAPI provide for CrewAI analysis?

Using getbills, the crew gets structured financial summaries, including the total cost in dollars and energy usage (kWh or therms) for specific time periods.

Coordinate multiple specialized agents for deep utility analysis using CrewAI.

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Connect UtilityAPI MCP to CrewAI

Create your Vinkius account to connect UtilityAPI to CrewAI 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 UtilityAPI with CrewAI

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Execute full data research cycles with MCP Server

Building a multi-agent operation requires comprehensive access. Use `get_meter_data` to give your team both the billing summary and the granular interval readings in one go. One agent handles costs, another handles consumption. This single tool provides enough information for multiple specialized agents to work simultaneously on different aspects of energy analysis.

Track customer consent and access using CrewAI

A core job for your autonomous crew is verifying permissions. `list_authorizations` lets the monitor agent see every customer who has granted data access, complete with referral codes. This prevents any action being taken on unauthorized meters. You can cross-reference these records by calling `list_meters`, which provides a master list of all service points and their unique IDs.

Build autonomous authorization testing for CrewAI

Before the crew runs live, it needs to confirm its tools work. The `test_form_submission` tool lets you simulate an entire customer sign-up process. This ensures that when the moderator agent executes a real task, all prerequisites are met. Knowing which utility code to use comes from `list_utilities`, providing the necessary context for any new form generation.

Setup guide

Set up UtilityAPI MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke UtilityAPI tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="UtilityAPI Analyst",
    goal="Access and analyze UtilityAPI data via MCP.",
    backstory="Expert analyst with direct UtilityAPI access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent UtilityAPI transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="UtilityAPI Analyst",
        goal="Access and analyze UtilityAPI data via MCP.",
        backstory="Expert analyst with direct UtilityAPI access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent UtilityAPI transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by UtilityAPI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about UtilityAPI MCP in CrewAI

The agent team can use `get_intervals` to pull detailed, time-series usage readings. This is ideal for a specialized analysis agent that needs to model consumption over specific hours.

The `get_events` tool allows the crew to monitor system status, detecting if an authorization was created or if a necessary historical collection failed. This feeds into the team's shared memory.

The `test_form_submission` tool is your sandbox. It returns a referral code that allows you to verify the entire workflow against simulated customer data.

Using `get_bills`, the crew gets structured financial summaries, including the total cost in dollars and energy usage (kWh or therms) for specific time periods.

This MCP Server handles sensitive meter IDs and billing history. Remember to use `get_form_templates` first so the crew knows exactly what parameters are safe to collect.

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