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Connect Production Logging Interpretation to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn raw PLT measurements into actionable wellbore insights.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Production Logging Interpretation.

  1. 01

    Analyze flow regime

    This capability determines the physical flow pattern, such as mist, slug, or bubble, at specific depths.

  2. 02

    Calculate zonal contributions

    Use this to find out how much each individual formation zone contributes to the total fluid production.

  3. 03

    Get production profile

    This capability generates a complete summary of production behavior across the entire wellbore depth.

  4. 04

    Identify entry points

    This capability locates the exact depths where fluids are entering the wellbore from the formation.

Real work

What teams actually run

01

Zonal Performance Assessment

Determine which specific layers in a multi-zone well are actually producing fluids.

02

Flow Regime Troubleshooting

Identify if a well is experiencing slug or bubble flow at certain depths.

03

Fluid Influx Detection

Use temperature and pressure changes to find where gas or water is entering the well.

04

Wellbore Characterization

Generate a full production profile for a wellbore to understand its overall behavior.

One connector, every AI

Production Logging Interpretation works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Production Logging Interpretation to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

967ms average. Fast in production.

Production Logging Interpretation is checked daily against the live service.

Daily averagePeak 1244ms
Oct 3Today
Fastest day
633ms
Slowest day
1244ms
14-day trend
Improving-6%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Production Logging Interpretation, so you can see the experience inside your AI.

It does not authenticate your account with Production Logging Interpretation. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Production Logging Interpretation Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_EVJrAfXb7N2z1tNyR5KBaY7UKudyeRvTn8Vamkhv/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Production Logging Interpretation capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "production-logging-interpretation-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_EVJrAfXb7N2z1tNyR5KBaY7UKudyeRvTn8Vamkhv/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Production Logging Interpretation in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Production Logging Interpretation owners hand off.

This MCP is built for petroleum engineers and reservoir specialists who need to automate the interpretation of production logs.

  • 01

    Reservoir Engineer

    Hands off raw PLT data to the AI to get rapid zonal contribution reports.

  • 02

    Production Engineer

    Uses the capability to find fluid entry points and troubleshoot wellbore performance.

  • 03

    Petroleum Data Analyst

    Automates the processing of spinner and temperature measurements into production profiles.

FAQ

Questions Production Logging Interpretation owners ask.

  • 01

    What kind of data does this MCP handle?

    It processes spinner, temperature, pressure, and holdup measurements from Production Logging Capabilities.

  • 02

    Does it work with deviated wells?

    Yes, the analysis accounts for wellbore deviation to ensure accuracy.

  • 03

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 04

    How does it handle multiphase flow?

    The capability is designed to account for multiphase flow when determining production profiles and flow regimes.

  • 05

    What is the main output of the zonal contribution capability?

    It provides the percentage of total fluid production attributed to each individual formation zone.

  • 06

    How can I find where fluids are entering the wellbore?

    You can use the identify_entry_points capability by providing temperature and pressure data arrays.

  • 07

    Can this capability calculate how much each zone is producing?

    Yes, the calculate_zonal_contributions capability determines the fluid rate and percentage contribution for each defined zone.

  • 08

    Does the analysis account for wellbore inclination?

    Yes, capabilities like get_production_profile and analyze_flow_regime require inclination to account for gravity-driven segregation and flow patterns.

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