GIS MCP Server

# Examples Overview This section contains practical, step-by-step examples for using GIS MCP Server in real-world geospatial workflows. Each example includes prompts, actions, and video tutorials to help you get started quickly. ## Available Examples - [**Example 1: Basic Spatial Analysis (Claude)**](basic_spatial_analysis_claude.md) - Perform buffer and intersection operations on shapefiles (e.g., park and building polygons). - Learn how to load shapefiles, buffer geometries, find intersections, and return results in WKT format. - Includes a video walkthrough. - [**Example 2: CRS Check, Reprojection, Area & Distance Calculations**](crs_area_distance_analysis.md) - Check and transform the CRS of a parcel shapefile, calculate area by land use, and measure distances between centroids. - Useful for urban planning, cadastral management, and spatial QA. - Includes a video walkthrough. - [**Example 3: Movement Analysis (OSMnx)**](movement_example.md) - Download and analyze street networks, calculate shortest paths between points, and visualize movement networks. - Useful for urban mobility, routing, and network analysis. - Includes a video walkthrough. - [**Example 4: Climate Data Download & Analysis**](climate_data_example.md) - Download, visualize, and analyze climate raster data (e.g., Temperature) using GIS MCP Server & Claude Desktop. - Learn how to clip rasters, calculate zonal statistics, and export results for further analysis. - [**Example 5: Build Your First GIS AI Agent (LangChain)**](../gis-ai-agent.md) - Create your own AI agent from scratch using LangChain and the GIS MCP Server. - Learn how to build a complete agent that can perform geospatial operations through natural language. - Step-by-step tutorial from zero to hero - no prior experience needed. - Integrate with OpenRouter to access multiple AI models (DeepSeek, Gemini, GPT-4, Claude, etc.).