
Connect Resource Classification System 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. Automate mineral resource categorization and regulatory compliance.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
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.

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.
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.
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.
01-04
4 capabilities in this set.
Part of 4 available through Resource Classification System.
- 01
Classify resource
This capability determines resource categories by analyzing geological and spatial data. It assigns Measured, Indicated, or Inferred status based on your input.
- 02
Compare standards
This capability highlights the specific differences in requirements between JORC and NI 43-101. Use it to ensure your reporting meets different regional regulatory frameworks.
- 03
Evaluate data readiness
This capability checks if your current dataset is sufficient to attempt a formal classification. It identifies if you have enough data to proceed without high risk.
- 04
Get classification thresholds
This capability provides the benchmark values used to distinguish between different resource categories. It returns the specific limits used for regulatory compliance.
Real work
What teams actually run
Rapid Resource Classification
You provide drilling density and confidence levels to get an immediate category assignment.
Compliance Auditing
Your agent compares JORC and NI 43-101 requirements to ensure reporting accuracy.
Pre-Classification Checks
You use the capability to see if your current drill hole count is sufficient for a classification attempt.
Threshold Verification
Your agent retrieves specific benchmark values to validate your resource model's parameters.
One connector, every AI
Resource Classification System 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 Resource Classification System 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
952ms average. Fast in production.
Resource Classification System is checked daily against the live service.
- Fastest day
- 757ms
- Slowest day
- 1166ms
- 14-day trend
- Improving-13%
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 Resource Classification System, so you can see the experience inside your AI.
It does not authenticate your account with Resource Classification System. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Resource Classification System Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_gqjGpXa5c5WZXTRSQNvBgzwrPbPgCMhTwO1xOhEL/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 — Resource Classification System capabilities are ready to use.
{
"mcpServers": {
"resource-classification-system-mcp": {
"url": "https://edge.vinkius.com/vk_preview_gqjGpXa5c5WZXTRSQNvBgzwrPbPgCMhTwO1xOhEL/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 Resource Classification System in Claude and other AIs
Who it's for
Built for the work Resource Classification System owners hand off.
This MCP is designed for professionals working in mineral exploration and mining resource estimation.
- 01
Geologists
They hand off drilling density and geological confidence data to the AI for rapid classification.
- 02
Resource Estimators
They use the capability to verify that their models align with JORC or NI 43-101 benchmarks.
- 03
Mining Engineers
They check data readiness to determine if enough drilling has occurred to support a resource model.
FAQ
Questions Resource Classification System owners ask.
- 01
What standards does this MCP support?
This MCP supports JORC and NI 43-101 frameworks for mineral resource classification.
- 02
How does the MCP determine resource categories?
It uses the classify_resource capability to analyze geological confidence, drilling density, and data quality.
- 03
Can I check if my drilling density meets JORC requirements?
Yes, you can use the get_classification_thresholds capability to retrieve the specific density limits for JORC.
- 04
Will this MCP tell me if I have enough data to classify a resource?
Yes, the evaluate_data_readiness capability checks if your current dataset is sufficient for classification.
- 05
Which AI clients can use this MCP?
You can use this MCP with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
- 06
Which regulatory standards are supported?
The system supports the JORC and NI 43-101 international reporting standards.
- 07
How does geological complexity affect classification?
High geological complexity requires higher drilling density to achieve the same resource category classification.
- 08
Can I check if my data is ready for classification?
Yes, you can use the evaluate_data_readiness capability to determine if your sample count and data quality meet the minimum requirements.
Explore
More in Engineering
Resource Model Validation AI Connector
Validate mineral resource block models using statistical analysis and spatial swath plots.
ViewClassification Efficiency Model AI Connector
Models classification efficiency for hydrocyclones and screens using partition curves and separation metrics.
ViewGrade-Tonnage Curve Model AI Connector
Analyze resource models to generate grade-tonnage curves and calculate ore quantities.
ViewLong-Term Mine Plan Engine AI Connector
Generates life-of-mine schedules and resource depletion profiles.
View
Suggestions
Modelbit (ML Model Deployments) AI Connector
Deploy and call machine learning models directly from your AI agent using Modelbit's inference endpoints.
ViewMine Water Management System AI Connector
Design mine water infrastructure by calculating storage, treatment, and discharge compliance.
ViewMine Power Consumption Model AI Connector
Calculate electricity demand and costs for mining operations.
ViewResource Assessment Uncertainty AI Connector
Quantify geological uncertainty using probabilistic Monte Carlo simulations.
View
Connect Resource Classification System to Claude, Cursor, ChatGPT & more
