dcisionai-mcp-platform

ameydhavle/dcisionai-mcp-platform

3.1

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DcisionAI MCP Server Platform is a production-ready server platform designed for manufacturing optimization, utilizing a 6-agent swarm intelligence system and comprehensive workflow orchestration.

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DcisionAI Platform Documentation

Welcome to the DcisionAI platform documentation. This platform provides domain-agnostic optimization using advanced AI techniques.

📚 Documentation Structure

Core Documentation

All core documentation is organized in subdirectories:

  • - System architecture, components, and design decisions
  • - API endpoints, WebSocket events, and schemas
  • - Production deployment guide for Railway and Vercel

Architectural Decision Records (ADRs)

- Comprehensive documentation of architectural decisions:

  • Agent Architecture (Intent, Data, Solver agents)
  • Tool Architecture (Intent tools, Data tools, Formula tools)
  • Solver Architecture (Dual solver, Solver selection, DAME strategies)
  • Template System (Template selection, Dual representation)
  • Workflow Orchestration (LangGraph, State management)
  • Infrastructure (Railway, Vercel, FastAPI, WebSocket)
  • Database/Persistence (Supabase, Session management)
  • LLM Architecture (Specialist models, Fallback chains)
  • Data Architecture (External connectors, Wren integration, Synthetic generation)

Additional Resources

  • - Architectural Decision Records (why decisions were made)
  • - Development planning documents
  • - Implementation summaries and code reviews
  • - Feature summaries, guides, and component updates
    • - Complete breakdown of all agents and tools
    • - LangGraph compliance analysis
  • - Detailed guides (Architecture, API reference, deployment)
  • - Research papers and technical deep-dives
  • - Implementation-specific documentation
  • - Historical and outdated documentation

🚀 Quick Start

# Clone the repository
git clone https://github.com/ameydhavle/dcisionai-mcp-platform.git
cd dcisionai-mcp-platform

# Install dependencies
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

# Start the platform
./start_all.sh  # Starts both backend and frontend

🎯 Platform Overview

DcisionAI is a production-grade optimization platform that:

  • Discovers Intent: Uses LLMs to understand optimization problems from natural language
  • Generates Data: Creates realistic synthetic data when needed
  • Optimizes Solutions: Employs multiple solvers (DAME, HiGHS, etc.) for best results
  • Provides Transparency: Offers mathematical proofs and business interpretations

📖 Documentation Guide

  • New to the platform? Start with the
  • Deploying to production? See
  • Understanding the system? Read
  • Integrating with the API? Check
  • Exploring agents and tools? See

🔗 Links

📝 License

Copyright © 2024 DcisionAI. All rights reserved.