Agricultural AI MCP Server
Enables containerized deployment of the agricultural AI server with Docker support for easy cloud deployment and scaling.
Facilitates code repository management and deployment workflows, particularly for connecting repositories to cloud deployment platforms.
Provides cloud deployment capabilities for the agricultural AI server with built-in health checks and environment variable management.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Agricultural AI MCP Serverwhat are the current wheat prices in Punjab?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
š¾ Agricultural AI MCP Server
A production-ready HTTP server providing crop price data and web search capabilities for agricultural AI chatbots. Features creative Docker MCP Gateway integration for intelligent tool routing and management.
š Quick Start
# 1. Quick setup (30 seconds)
./scripts/setup/quick-setup.sh
# 2. Test intelligent routing
curl -X POST http://localhost:8811/tools/call \
-H "Content-Type: application/json" \
-d '{"name": "crop-price", "arguments": {"state": "Punjab"}}'Related MCP server: Alumnx MCP Server
š Project Structure
āāā š docs/ # Documentation
ā āāā deployment/ # Deployment guides
ā āāā integration/ # Integration guides
ā āāā guides/ # Feature guides
āāā š§ scripts/ # Automation scripts
ā āāā setup/ # Setup scripts
ā āāā deployment/ # Deployment scripts
ā āāā testing/ # Testing scripts
āāā āļø config/ # Configuration files
ā āāā docker/ # Docker configurations
ā āāā nginx/ # Nginx configurations
ā āāā catalogs/ # MCP catalogs
āāā š¤ examples/ # Integration examples
ā āāā chatbot/ # Chatbot integrations
ā āāā integration/ # API examples
āāā š» src/ # Source codešÆ Features
Core Agricultural Intelligence
Crop Price Data: Real-time agricultural commodity prices from data.gov.in
Web Search: Agricultural news and information via EXA API
HTTP API: RESTful endpoints for easy integration
Health Checks: Built-in monitoring endpoints
Docker MCP Gateway Integration
šÆ Intelligent Tool Routing: Gateway routes queries to optimal agricultural tools
š Production Catalog Management: Sophisticated server registry with metadata
š Dynamic Server Discovery: Runtime tool registration and management
š Dual Protocol Support: Both HTTP REST and MCP protocol endpoints
ā” Real-time Tool Orchestration: Gateway manages multiple agricultural intelligence servers
š ļø Setup Options
Option 1: Local Development
./scripts/setup/quick-setup.shOption 2: DigitalOcean Deployment
./scripts/deployment/check-digitalocean.shOption 3: Creative MCP Gateway
./scripts/testing/creative-gateway-demo.shš Documentation
Setup Guide - Get started in 30 seconds
DigitalOcean Deployment - Production deployment
Creative MCP Gateway - Advanced patterns
Chatbot Integration - Ready-to-use examples
š¤ Chatbot Integration
const AgriculturalAI = require('./examples/chatbot/your-chatbot-config.js');
const agriAI = new AgriculturalAI();
// Ready to use!
const response = await agriAI.processQuery("What are wheat prices in Punjab?");šÆ Live Endpoints
Direct API: http://165.232.190.215
MCP Gateway: http://165.232.190.215:8811
Health Check: http://165.232.190.215/health
š Perfect for Hackathons
ā Creative Docker MCP Gateway Usage - Intelligent agricultural tool orchestration
ā Production-Ready Architecture - Real catalog management and server routing
ā Real Agricultural Data - Government crop prices and market intelligence
ā Easy Integration - Works with any chatbot or AI framework
ā Live Demo Ready - Judges can test both gateway and direct API access
š License
MIT License - Perfect for hackathon projects!
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