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README.md•1.51 kB
# GIS AI Agent Examples
Welcome to the GIS AI Agent examples section! Here you'll find step-by-step tutorials for building AI agents that can perform geospatial operations using the GIS MCP Server.
## Overview
These tutorials will guide you through creating your own AI agents that can:
- Calculate distances between points
- Transform coordinates between different systems
- Create buffers around locations
- Perform spatial analysis
- And much more!
## Available Agent Examples
### 1. Langchain (Python)
Build a GIS AI agent using LangChain and Python. This tutorial is perfect for Python developers who want to integrate geospatial capabilities into their AI applications.
**[→ Get Started with Langchain Agent](langchain.md)**
- ✅ Python-based agent framework
- ✅ Integrate with OpenRouter to access multiple AI models
- ✅ Step-by-step tutorial from zero to hero
- ✅ No prior AI or GIS experience needed
### 2. OpenAI (NodeJs)
Build a GIS AI agent using OpenAI's Agent SDK in Node.js. This tutorial is perfect for JavaScript/TypeScript developers who want to build GIS agents.
**[→ Get Started with OpenAI-Nodejs Agent](openai-nodejs.md)**
- ✅ Node.js-based agent framework
- ✅ Uses OpenAI's Agent SDK
- ✅ Step-by-step tutorial with clear instructions
- ✅ Perfect for JavaScript/TypeScript developers
## Need Help?
- Visit our [GitHub repository](https://github.com/mahdin75/gis-mcp) for more examples
- Join our [Discord community](https://discord.gg/SeVmVhVbk) for support