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DcisionAI MCP Server for Mathematical Optimization with Enhanced Solver Selection and Business Explainability

Project description

DcisionAI MCP Server

A Model Context Protocol (MCP) server that provides real mathematical optimization capabilities powered by OR-Tools and AI-driven problem formulation.

Features

  • 6 Core Optimization Tools: Intent classification, data analysis, model building, optimization solving, workflow templates, and end-to-end execution
  • Real Mathematical Optimization: Uses OR-Tools for genuine mathematical solving (not AI generation)
  • AI-Driven Formulation: Leverages Qwen 30B for intelligent problem formulation
  • Industry Workflows: Pre-built templates for manufacturing, healthcare, retail, marketing, financial, logistics, and energy sectors
  • MCP Protocol: Seamless integration with AI development environments like Cursor

Installation

pip install dcisionai-mcp-server

Usage

The server can be run directly:

dcisionai-mcp-server

Or via uvx:

uvx dcisionai-mcp-server

Configuration

Set the following environment variables:

  • AWS_ACCESS_KEY_ID: Your AWS access key for Bedrock access
  • AWS_SECRET_ACCESS_KEY: Your AWS secret key for Bedrock access
  • AWS_REGION: AWS region (default: us-east-1)

Tools

  1. classify_intent: Classify user intent for optimization requests
  2. analyze_data: Analyze and preprocess data for optimization
  3. build_model: Build mathematical optimization model using Qwen 30B
  4. solve_optimization: Solve the optimization problem using OR-Tools
  5. get_workflow_templates: Get available industry workflow templates
  6. execute_workflow: Execute a complete optimization workflow

License

MIT License

Project details


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