Use Production Logging Interpretation with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Analyze PLT data to identify fluid entry points and production profiles.
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.
Complete set · 4 capabilities
The complete Production Logging Interpretation capability set.
These are the exact actions your AI can choose when you ask it to work with Production Logging Interpretation.
01-04
4 capabilities in this set.
Part of 4 available through Production Logging Interpretation.
- 01
Analyze flow regime
Determines the physical flow pattern (e.g., mist, slug, bubble) at specific depths
- 02
Calculate zonal contributions
Determines how much each individual formation zone is contributing to the total fluid production
- 03
Get production profile
Provides a complete summary of the production behavior across the entire wellbore depth
- 04
Identify entry points
Locates specific depths where fluids are entering the wellbore from the formation
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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding 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.
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.
https://edge.vinkius.com/vk_preview_EVJrAfXb7N2z1tNyR5KBaY7UKudyeRvTn8Vamkhv/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Production Logging Interpretation capabilities are ready to use.
{
"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? link.label
FAQ
Questions Production Logging Interpretation owners ask.
- 01
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.
- 02
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.
- 03
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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