by ronantakizawa
GIS Data Conversion enables seamless conversion between WKT, GeoJSON, CSV, TopoJSON, and KML with topology and reverse g
Converts geographic data between multiple formats including WKT, GeoJSON, CSV, TopoJSON, and KML. Also provides reverse geocoding to convert coordinates into location information.
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.
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.
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.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Strong directory entry: GIS Data Conversion surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, GIS Data Conversion benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired GIS Data Conversion into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend GIS Data Conversion for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
GIS Data Conversion is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: GIS Data Conversion surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Useful MCP listing: GIS Data Conversion is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated GIS Data Conversion against two servers with overlapping tools; this profile had the clearer scope statement.
GIS Data Conversion has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, GIS Data Conversion benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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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.
https://github.com/user-attachments/assets/e21b10c3-bb67-4322-9742-efa8c7d8b332
https://github.com/user-attachments/assets/a5d56051-8aed-48bb-8de1-820df8d34fe3
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.
Converts Well-Known Text (WKT) to GeoJSON format.
Converts GeoJSON to Well-Known Text (WKT) format.
Converts CSV with geographic data to GeoJSON.
Parameters:
csv (required): CSV string to convertlatfield (required): Field name for latitudelonfield (required): Field name for longitudedelimiter (optional): CSV delimiter (default is comma)Converts GeoJSON to CSV format.
Converts GeoJSON to TopoJSON format (more compact with shared boundaries).
Parameters:
geojson (required): GeoJSON object to convertobjectName (optional): Name of the TopoJSON object to create (default: "data")quantization (optional): Quantization parameter for simplification (default: 1e4, 0 to disable)Converts TopoJSON to GeoJSON format.
Parameters:
geojson (required): GeoJSON object to convertobjectName (optional): Name of the TopoJSON object to create (default: "data")Converts KML to GeoJSON format.
Converts GeoJSON to KML format.
Converts latitude/longitude coordinates to location name using reverse geocoding.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.