Minfy ENERGY / OIL & GAS

MINFY ENERGY DEMO / AMAZON QUICK + MCP

From pipeline alarms
to informed decisions.

Minfy pipeline intelligence. Meet Amazon Quick.

Industry intelligence from Minfy.
A conversational entry point through Amazon Quick.

Explore Minfy’s pipeline alarm triage application and how Amazon Quick can bring its evidence and recommendations into a conversation through MCP.

Watch the 5-minute demo Explore Quick + MCP
THE DEMO STACKAmazon QuickModel Context Protocol (MCP)Amazon Bedrock AgentCoreAnthropic Claude

THE FIVE-MINUTE WALKTHROUGH

See Minfy at work.
Explore the Amazon Quick connection.

Start with two pipeline alarms in the working application, then see an illustrative Quick conversation showing how MCP can connect the investigation to a user’s questions.

Minfy pipeline triage + Amazon Quick
APPLICATION WALKTHROUGH 5:00
Minfy application walkthrough + illustrative Amazon Quick / MCP segment.Demo data. Operator decisions remain human-led.

THE OPERATIONAL QUESTION

A pressure drop is a signal.
What does it mean?

A potential leak and an operating change can trigger similar alarms. The demonstration brings telemetry, operating context and procedures into one investigation.

DEMO EVENT FP-003 False positive assessment

The pressure changed.
The context explains why.

The agent attributes the alarm to falling temperature and gas contraction in the line, with no sustained mass-balance deficit.

EVIDENCE

SCADA readings, operating context and the alarm timeline.

HUMAN REVIEW

Review the evidence and the recommendation to continue monitoring.

Decision support, with the operator in control. The demonstration recommends next steps. It does not execute field actions or isolate the pipeline.

MINFY + AMAZON QUICK / CONNECTED THROUGH MCP

Ask in Amazon Quick.
Investigate with Minfy.

The integration is designed to give users conversational access to Minfy’s pipeline intelligence in Amazon Quick. MCP provides the connection to exposed application tools. Minfy supplies the investigation logic, operational evidence and recommendations.

ILLUSTRATIVE USER QUESTION IN AMAZON QUICK
“Why was this pipeline alarm flagged, and what evidence should I review?”

Intended flow: Quick calls an exposed Minfy tool through MCP, receives the investigation result and presents it for the operator’s review.

01 / ENGAGE

Amazon Quick

Ask operational questions and review returned investigation results in a conversation.

User interaction
02 / CONNECT

MCP

Expose selected Minfy application capabilities as tools that Amazon Quick can call.

Requests & responses
03 / INVESTIGATE

Minfy pipeline application

Analyze SCADA alarms using operating context and procedures, with evidence for human review.

AgentCore + Claude
DEMONSTRATION SCOPE

The video shows the working Minfy application and an illustrative Amazon Quick interaction. The Quick/MCP connection is being completed and tested. This diagram explains the intended integration, not a verified live end-to-end connection.

FROM DEMONSTRATION TO EVALUATION

Start with your workflow.
Build the evidence together.

A practical next step is a read-only evaluation against historical alarms and known outcomes.

  1. 01

    Choose one operational question

    Agree on the alarm workflow, users and decisions the evaluation should support.

  2. 02

    Scope the Amazon Quick connection

    Agree on the questions, exposed MCP tools, authentication and data access needed to bring Minfy’s investigation into Quick.

  3. 03

    Review with your operators

    Compare the evidence and recommendations with known outcomes before deciding what comes next.

LET’S EXPLORE YOUR USE CASE

Explore your Energy workflow
with Minfy and Amazon Quick.

Talk to Minfy about pipeline alarm triage and a focused evaluation of the Quick/MCP connection.

Connect with Minfy