zornade/zornade-mcp
by Various
[](https://glama.ai/mcp/servers/zornade/zornade-mcp) 📇 ☁️ - Italian cadastral, geospatial and real-estate data for AI agents: geocoding on 18.7M+ addresses, parcel profiles for th
MCP
zornade/zornade-mcp
Added 21 Sept 2026
Overview
MCP server that exposes Italian cadastral, geospatial and real-estate data to AI agents. Provides geocoding across 18.7M+ addresses and parcel profile lookups. Written in TypeScript.
Best for
Best for
Developers building AI agents that require Italian cadastral or geospatial data
Use cases
- Geocode Italian addresses within AI agent workflows
- Retrieve cadastral parcel profiles for property data
- Integrate Italian real-estate information into LLM tools
How to use
Tools exposed
zornade_geocode_searchzornade_geocode_reversezornade_parcel_by_idzornade_parcel_locatezornade_parcel_searchzornade_admin_lists
Tested with
Claude Desktop, Claude Code, Cursor, Cline, VS Code
Notes
MCP server that exposes Italian cadastral, geospatial and real-estate data to AI agents. Provides geocoding across 18.7M+ addresses and parcel profile lookups. Written in TypeScript.
0 stars on GitHub. Last updated 2026-09-20. Licensed MIT.
Use cases
- Geocode Italian addresses within AI agent workflows
- Retrieve cadastral parcel profiles for property data
- Integrate Italian real-estate information into LLM tools
Pros
- Large address coverage of 18.7M+ entries
- Specialized for Italian cadastral and geospatial data
- Uses the MCP standard for easy agent integration
Cons
- Zero GitHub stars suggests limited community adoption
- Restricted to Italian geographic scope
- No evidence of active maintenance or releases
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Large address coverage of 18.7M+ entries
- Specialized for Italian cadastral and geospatial data
- Uses the MCP standard for easy agent integration
Cons
- Zero GitHub stars suggests limited community adoption
- Restricted to Italian geographic scope
- No evidence of active maintenance or releases
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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