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Connect History Matching Quality to ChatGPT and Claude

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. Measure how well your reservoir models match field data.

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 History Matching Quality.

  1. 01

    Get feature comparison statistics

    This capability compares the statistical distributions between simulated and observed data sets.

  2. 02

    Get global match metrics

    This capability provides a high-level overview of how well the entire simulation matches historical observations.

  3. 03

    Get temporal error analysis

    This capability detects specific time periods or stages where the simulation fails to capture reservoir behavior.

  4. 04

    Get well performance analysis

    This capability identifies which specific wells are contributing most to the total error in your simulation.

Real work

What teams actually run

01

Model Validation

Check if a new simulation run actually matches historical production trends.

02

Well Troubleshooting

Find out which specific wells are ruining your global match quality.

03

Time-Series Analysis

Determine if your model failed to capture a specific pressure drop or production surge during a certain month.

04

Statistical Auditing

Compare the distributions of simulated data against observed data to ensure model realism.

One connector, every AI

History Matching Quality 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 History Matching Quality 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

879ms average. Fast in production.

History Matching Quality is checked daily against the live service.

Daily averagePeak 1079ms
Oct 8Today
Fastest day
799ms
Slowest day
1079ms
14-day trend
Improving-16%

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 History Matching Quality, so you can see the experience inside your AI.

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

History Matching Quality Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_zvqfFNstDvVmh4N9etTZx44CAXgYeUdCSq8ylTA7/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 — History Matching Quality capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "history-matching-quality-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_zvqfFNstDvVmh4N9etTZx44CAXgYeUdCSq8ylTA7/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 History Matching Quality in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work History Matching Quality owners hand off.

This MCP is built for petroleum engineers and reservoir specialists who need to validate simulation models against field data.

  • 01

    Reservoir Engineer

    Hands off simulation results to the AI to get rapid error metric reports.

  • 02

    Simulation Specialist

    Uses the AI to find specific wells or time periods that require model tuning.

  • 03

    Data Analyst

    Uses the capability to compare statistical distributions between datasets.

FAQ

Questions History Matching Quality owners ask.

  • 01

    What metrics does this MCP calculate?

    The MCP calculates RMS error, NDS error, and the R² coefficient of determination.

  • 02

    Can I find specific wells causing errors?

    Yes, you can use the well performance analysis capability to identify which wells contribute most to the total error.

  • 03

    How does it handle time-based discrepancies?

    The temporal error analysis capability detects specific time periods where the simulation fails to match reservoir behavior.

  • 04

    Which AI clients can use this MCP?

    You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect.

  • 06

    How do I check the overall accuracy of my simulation?

    You can use the get_global_match_metrics capability to obtain a composite match quality score, RMS error, and R² value for the entire dataset.

  • 07

    Can I identify which specific wells are poorly matched?

    Yes, the get_well_performance_analysis capability analyzes performance metrics per individual well ID to identify contributors to total error.

  • 08

    How can I detect errors occurring during specific production stages?

    Use the get_temporal_error_analysis capability by providing specific time intervals to detect where the simulation fails to capture reservoir behavior.

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