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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
<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>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 convertlatfield(required): Field name for latitudelonfield(required): Field name for longitudedelimiter(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 convertobjectName(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 convertobjectName(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 29 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.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★29 reviews- ★★★★★Neel Verma· Dec 28, 2024
Strong directory entry: GIS Data Conversion surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Nia Dixit· Dec 24, 2024
According to our notes, GIS Data Conversion benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Kofi Rao· Dec 24, 2024
We wired GIS Data Conversion into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Neel Thomas· Nov 15, 2024
I recommend GIS Data Conversion for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Camila Zhang· Nov 15, 2024
GIS Data Conversion is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Yash Thakker· Nov 3, 2024
Strong directory entry: GIS Data Conversion surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Oct 22, 2024
Useful MCP listing: GIS Data Conversion is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Neel Li· Oct 6, 2024
We evaluated GIS Data Conversion against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Luis Bhatia· Oct 6, 2024
GIS Data Conversion has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Luis Harris· Sep 13, 2024
According to our notes, GIS Data Conversion benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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