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Coal Grade Quality MCP Server

by SaiCharan4669
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Coal Grade Quality MCP Server

MCP (Model Context Protocol) server that exposes a trained coal ore quality classifier as an LLM-accessible tool — allowing Claude and other MCP-compatible clients to classify coal images into quality grades .

What This Does

Upload a coal ore image → get a quality grade back through natural language.

Claude interprets the result, explains its reasoning, and flags any uncertainty

Related MCP server: openai-vision-mcp-server

Grades

Grade

Quality

grade_a

Highest quality — high carbon content

grade_b

Medium quality — moderate carbon content

grade_c

Lower quality — visible impurities

reject

Not suitable for industrial use

How It Works

Coal image (base64) ↓ Non-Local Means Denoising ↓ Color Histogram Extraction (96 features) ↓ StandardScaler normalization ↓ Logistic Regression prediction ↓ Grade + Confidence

MCP PRIMITIVES

Primitive

Name

Purpose

Invocation

Tool

grade_coal

Runs the ML model on a coal image → grade + confidence

LLM-controlled

Resource

coal://info

Grade definitions as reference context

Host-controlled

Prompt

classify-with-reasoning

Structured reasoning template for deep analysis

User-controlled

Connect Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "coal-grade-server": {
      "command": "path/to/venv/Scripts/python.exe",
      "args": ["path/to/server.py"]
    }
  }
}

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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