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UtilityAPI MCP Server for LangChain 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect UtilityAPI through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "utilityapi": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using UtilityAPI, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
UtilityAPI
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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 UtilityAPI MCP Server

Connect UtilityAPI to any AI agent and access utility billing history, granular usage intervals, and meter data from over 100 US utility companies — including PG&E, Southern California Edison, Con Edison, National Grid, and more — through a single unified API.

LangChain's ecosystem of 500+ components combines seamlessly with UtilityAPI through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Supported Utilities — List all 100+ utility companies available through the platform with their codes and data types
  • Customer Authorizations — Create and manage authorization forms for customers to securely share their utility data
  • Meter Management — List all authorized utility meters (service points) with addresses, fuel types, and collection status
  • Billing History — Retrieve complete billing history with costs, usage amounts (kWh/therms), and billing periods
  • Usage Intervals — Access granular smart meter interval data (15-min or hourly readings) for detailed energy analysis
  • Historical Collection — Activate backfilling of historical utility data for newly authorized meters
  • Combined Meter Data — Get both bills and intervals in a single call for comprehensive energy analysis
  • Event Monitoring — Monitor webhook events for authorization flows, data collection status, and errors
  • Demo Testing — Test authorization forms with simulated residential and commercial scenarios before production
  • Billing Summaries — Track API usage costs and billing periods for your UtilityAPI account

The UtilityAPI MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain 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 UtilityAPI to LangChain via MCP

Follow these steps to integrate the UtilityAPI MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 12 tools from UtilityAPI via MCP

Why Use LangChain with the UtilityAPI MCP Server

LangChain provides unique advantages when paired with UtilityAPI through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine UtilityAPI MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across UtilityAPI queries for multi-turn workflows

UtilityAPI + LangChain Use Cases

Practical scenarios where LangChain combined with the UtilityAPI MCP Server delivers measurable value.

01

RAG with live data: combine UtilityAPI tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query UtilityAPI, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain UtilityAPI tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every UtilityAPI tool call, measure latency, and optimize your agent's performance

UtilityAPI MCP Tools for LangChain (12)

These 12 tools become available when you connect UtilityAPI to LangChain via MCP:

01

activate_historical_collection

Send an array of meter_uids (from list_meters) to begin backfilling historical data. Once activated, the system will start collecting all available historical data for those meters. Use this after a new customer authorization to ensure you get their complete usage history, not just future data. Data collection may take time depending on the utility and data availability. Activate historical data collection for specific utility meters

02

create_auth_form

Returns a form_uid that can be used to redirect customers to the authorization flow. The utilityCode parameter must be a valid utility code (from list_utilities). Optional scenario parameter controls the test mode: "residential" (home customer), "commercial" (business customer), or other utility-specific scenarios. Use this to set up new data sharing agreements with utility customers. Create a new authorization form for customers to share their utility data

03

get_billing_summaries

Includes billing periods, costs, and meter counts for your UtilityAPI subscription. Optional meterId parameter retrieves summary for a specific meter. Use this to track API usage costs and understand billing periods for your UtilityAPI account. Get billing account summaries for UtilityAPI accounting

04

get_bills

Returns utility bills with: start/end dates, total cost (in dollars), energy usage (kWh for electric, therms for gas), utility name, and meter association. The meters parameter is required — provide a single meter UID or comma-separated multiple UIDs. Use this to analyze customer spending on utilities, identify high-cost periods, or provide billing insights. Bills are only available for meters that have been authorized and are actively collecting data. Get utility billing history for authorized meters

05

get_events

Events include: new authorization created, meter data available, collection completed, errors, etc. Use this to monitor the status of data collection workflows, debug authorization issues, or build real-time notifications for when customer data becomes available. Get webhook events from UtilityAPI (authorizations, data collection status)

06

get_form_templates

Templates define what information is collected during the customer authorization process. Use this to understand available form configurations before creating custom authorization forms. Each template has a unique ID used when creating new forms. Get authorization form templates used for customer data sharing

07

get_intervals

This is granular consumption data showing energy usage over time intervals (typically 15-minute or hourly readings from smart meters). Each interval includes: start/end timestamp, usage value (kWh or therms), and cost information. The meters parameter is required — provide meter UID(s). Use this for detailed energy analysis, identifying peak usage patterns, demand response analysis, or building energy models. This is more granular than bills — ideal for time-series analysis. Get detailed usage interval data (hourly/15-min) for authorized meters

08

get_meter_data

This is a convenience tool that combines results from get_bills and get_intervals for one meter. Returns: complete bill history (dates, costs, usage) plus granular interval data (time-series readings). Use this when you need a complete picture of a customer's utility data — both the financial (billing) and technical (usage patterns) aspects — for comprehensive energy analysis. The meterUid must be a valid meter UID from list_meters. Get combined billing and interval data for a specific meter in one call

09

list_authorizations

Each authorization represents a customer who has granted access to their utility data. Optional referrals parameter filters by a specific referral code (from test submissions). Set includeMeters=true to also return associated meter data with each authorization. Use this to track which customers have authorized data access and get their referral codes for meter queries. List all customer data sharing authorizations

10

list_meters

Each meter represents a specific utility service connection (electricity or gas) at a customer location. Meter data includes: utility name, service address, fuel type (electric/gas), collection status, and the unique meter_uid used for fetching bills and intervals. Optional authorizationId filters meters to a specific customer authorization. Use the meter_uid with get_bills and get_intervals to retrieve usage data. List all authorized utility meters (service points)

11

list_utilities

Each utility includes its name, utility code (used for form submissions), and supported data types. Use this to find the correct utility code when creating authorization forms or querying utility-specific data. Common utilities include: PG&E (Pacific Gas & Electric), SCE (Southern California Edison), Con Edison, National Grid, and many others across the US. List all supported utility companies available through UtilityAPI

12

test_form_submission

Returns a referral_code that can be used to retrieve the test authorization and associated meter data. Use this during development and testing to verify form configurations work correctly before deploying to production. The formId is the uid returned by create_auth_form. The referral_code returned can be used with list_authorizations to retrieve test data. Test an authorization form to simulate customer authorization and get a referral code

Example Prompts for UtilityAPI in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with UtilityAPI immediately.

01

"List all supported utility companies."

02

"Get the billing history for meter 44445555."

03

"Show me the usage intervals for my authorized PG&E meters."

Troubleshooting UtilityAPI MCP Server with LangChain

Common issues when connecting UtilityAPI to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

UtilityAPI + LangChain FAQ

Common questions about integrating UtilityAPI MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect UtilityAPI to LangChain

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.