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analytics-data

GIS Operations▌

by mahdin75

Convert lat long or GPS data easily with GIS Operations. Perform coordinate transformations, MGRS, and military grid con

Integrates with geospatial libraries to perform geometric transformations, coordinate system conversions, and spatial analyses using WKT geometry strings for map creation and location-based services.

github stars

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Works with standard WKT geometry formatMultiple coordinate system support

best for

  • / GIS developers building mapping applications
  • / Data analysts working with location data
  • / Applications requiring coordinate system conversions
  • / Spatial analysis and geometry processing workflows

capabilities

  • / Transform coordinates between different projection systems
  • / Calculate spatial relationships between geometries
  • / Perform geometric operations on WKT strings
  • / Analyze distances and areas from geospatial data
  • / Convert between coordinate reference systems
  • / Process geometric transformations for mapping

what it does

Performs geospatial calculations and transformations using WKT geometry strings. Handles coordinate system conversions, spatial analyses, and geometric operations for mapping applications.

about

GIS Operations is a community-built MCP server published by mahdin75 that provides AI assistants with tools and capabilities via the Model Context Protocol. Convert lat long or GPS data easily with GIS Operations. Perform coordinate transformations, MGRS, and military grid con It is categorized under analytics data.

how to install

You can install GIS Operations in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

GIS Operations is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

GIS MCP Server

<div align="center">
CategoryBadges
PackagePyPI version PyPI downloads Tests
Installation & TransportDocker Installation Transport Storage
Data SourcesClimate Biodiversity LandCover Movement Satellite Administrative
Agentic AILangChain Agent Example OpenAI Agent Example
CommunityDiscord YouTube DeepWiki
</div> <div align="center"> <h3>✨ Want to perform accurate geospatial analysis in your chatbot? ✨</h3> <p><strong>Install GIS-MCP and transform your AI's spatial capabilities!</strong></p> <br/> <img src="docs/Logo.png" alt="GIS MCP Server Logo" width="300"/> <br/> </div>

A Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to GIS operations using GIS libraries, enabling AI assistants to perform geospatial operations and transformations.

🌐 Website: gis-mcp.com

Current version is 0.14.0 (Beta):

We welcome contributions and developers to join us in building this project.

🎥 Demo

<div align="center"> <img src="docs/demo.gif" alt="GIS MCP Server Demo" width="800"/> </div>

📋 Table of Contents

🚀 Features

GIS MCP Server empowers AI assistants with advanced geospatial intelligence. Key features include:

  • 🔹 Comprehensive Geometry Operations – Perform intersection, union, buffer, difference, and other geometric transformations with ease.
  • 🔹 Advanced Coordinate Transformations – Effortlessly reproject and transform geometries between coordinate reference systems.
  • 🔹 Accurate Measurements – Compute distances, areas, lengths, and centroids precisely.
  • 🔹 Spatial Analysis & Validation – Validate geometries, run proximity checks, and perform spatial overlays or joins.
  • 🔹 Raster & Vector Support – Process raster layers, compute indices like NDVI, clip, resample, and merge with vector data.
  • 🔹 Spatial Statistics & Modeling – Leverage PySAL for spatial autocorrelation, clustering, and neighborhood analysis.
  • 🔹 Easy Integration – Connect seamlessly with MCP-compatible clients like Claude Desktop or Cursor IDE.
  • 🔹 HTTP/SSE Transport – Run as HTTP service with RESTful storage endpoints for file upload/download operations.
  • 🔹 Flexible & Extensible – Supports Pytho

FAQ

What is the GIS Operations MCP server?
GIS Operations is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for GIS Operations?
This profile displays 65 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Discussion

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Ratings

4.6★★★★★65 reviews
  • ★★★★★Ganesh Mohane· Dec 28, 2024

    GIS Operations is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Shikha Mishra· Dec 24, 2024

    We wired GIS Operations into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Carlos Thomas· Dec 24, 2024

    I recommend GIS Operations for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Jin Agarwal· Dec 16, 2024

    We evaluated GIS Operations against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Hiroshi Chen· Dec 8, 2024

    Useful MCP listing: GIS Operations is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Carlos Wang· Dec 4, 2024

    GIS Operations is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Arjun Huang· Nov 27, 2024

    GIS Operations reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Omar Gupta· Nov 23, 2024

    I recommend GIS Operations for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Olivia Torres· Nov 23, 2024

    We wired GIS Operations into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Sakshi Patil· Nov 19, 2024

    We evaluated GIS Operations against two servers with overlapping tools; this profile had the clearer scope statement.

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