analytics-datadeveloper-tools

GIS Data Conversion

by ronantakizawa

GIS Data Conversion enables seamless conversion between WKT, GeoJSON, CSV, TopoJSON, and KML with topology and reverse g

Provides a bridge between geographic data formats, enabling seamless conversion between WKT, GeoJSON, CSV, TopoJSON, and KML with support for reverse geocoding and topology preservation.

github stars

15

Supports 5+ geographic data formatsPreserves topology during conversionIncludes reverse geocoding capability

best for

  • / GIS developers working with multiple data formats
  • / Data analysts processing geographic datasets
  • / Mapping applications requiring format conversion

capabilities

  • / Convert between WKT and GeoJSON formats
  • / Transform CSV data with coordinates to GeoJSON
  • / Convert TopoJSON to GeoJSON while preserving topology
  • / Transform KML files to GeoJSON format
  • / Perform reverse geocoding on coordinates
  • / Convert GeoJSON back to CSV format

what it does

Converts geographic data between multiple formats including WKT, GeoJSON, CSV, TopoJSON, and KML. Also provides reverse geocoding to convert coordinates into location information.

about

GIS Data Conversion is a community-built MCP server published by ronantakizawa that provides AI assistants with tools and capabilities via the Model Context Protocol. GIS Data Conversion enables seamless conversion between WKT, GeoJSON, CSV, TopoJSON, and KML with topology and reverse g It is categorized under analytics data, developer tools. This server exposes 6 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install GIS Data Conversion 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 Data Conversion 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 Data Conversion MCP

smithery badge

<a href="https://glama.ai/mcp/servers/@ronantakizawa/gis-dataconvertersion-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@ronantakizawa/gis-dataconvertersion-mcp/badge" /> </a>

Copy of Untitled Design

The GIS Data Conversion MCP is an MCP (Model Context Protocol) server that gives LLMs access to geographic data conversion tools.

This server uses various GIS libraries to allow LLMs to convert between different geographic data formats, coordinate systems, and spatial references.

Features

  • Reverse Geocoding - Convert coordinates to location information
  • WKT/GeoJSON Conversion - Convert between Well-Known Text and GeoJSON formats
  • CSV/GeoJSON Conversion - Transform tabular data with coordinates to GeoJSON and vice versa
  • TopoJSON/GeoJSON Conversion - Convert between GeoJSON and TopoJSON (topology-preserving format)
  • KML/GeoJSON Conversion - Transform KML files to GeoJSON format

Demo

Reverse Geocoding

https://github.com/user-attachments/assets/e21b10c3-bb67-4322-9742-efa8c7d8b332

TopoJSON to GeoJSON

https://github.com/user-attachments/assets/a5d56051-8aed-48bb-8de1-820df8d34fe3

Installation

To use this server with Claude Desktop, you need to configure it in the MCP settings:

For macOS: Edit the file at '~/Library/Application Support/Claude/claude_desktop_config.json'

{
  "mcpServers": {
    "gis-dataconversion-mcp": {
    "command": "npx",
    "args": [
      "-y",
      "a11y-mcp-server"
    ]
   }
  }
}

For Windows: Edit the file at %APPDATA%\Claude\settings\claude_mcp_settings.json

For Linux: Edit the file at ~/.config/Claude/settings/claude_mcp_settings.json Replace /path/to/axe-mcp-server/build/index.js with the actual path to your compiled server file.

Available Tools

wkt_to_geojson

Converts Well-Known Text (WKT) to GeoJSON format.

geojson_to_wkt

Converts GeoJSON to Well-Known Text (WKT) format.

csv_to_geojson

Converts CSV with geographic data to GeoJSON.

Parameters:

  • csv (required): CSV string to convert
  • latfield (required): Field name for latitude
  • lonfield (required): Field name for longitude
  • delimiter (optional): CSV delimiter (default is comma)

geojson_to_csv

Converts GeoJSON to CSV format.

geojson_to_topojson

Converts GeoJSON to TopoJSON format (more compact with shared boundaries).

Parameters:

  • geojson (required): GeoJSON object to convert
  • objectName (optional): Name of the TopoJSON object to create (default: "data")
  • quantization (optional): Quantization parameter for simplification (default: 1e4, 0 to disable)

topojson_to_geojson

Converts TopoJSON to GeoJSON format.

Parameters:

  • geojson (required): GeoJSON object to convert
  • objectName (optional): Name of the TopoJSON object to create (default: "data")

kml_to_geojson

Converts KML to GeoJSON format.

geojson_to_kml

Converts GeoJSON to KML format.

coordinates_to_location

Converts latitude/longitude coordinates to location name using reverse geocoding.

Dependencies

  • @modelcontextprotocol/sdk
  • wellknown
  • csv2geojson
  • topojson-client
  • topojson-server
  • @tmcw/togeojson
  • xmldom

FAQ

What is the GIS Data Conversion MCP server?
GIS Data Conversion 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 Data Conversion?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

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

  • Piyush G· Sep 9, 2024

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

  • Chaitanya Patil· Aug 8, 2024

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

  • Sakshi Patil· Jul 7, 2024

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

  • Ganesh Mohane· Jun 6, 2024

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

  • Oshnikdeep· May 5, 2024

    Strong directory entry: GIS Data Conversion surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    GIS Data Conversion has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, GIS Data Conversion benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

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

  • Yash Thakker· Jan 1, 2024

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