# mcp-catastro

> mcp-catastro — mrgo2-catastro-mcp. Use this tool when you need to access and query official Spanish Cadastre data, such as parcel information and geometry, to solve problems related to land use, property boundaries, and spatial analysis. It provides local queries of INSPIRE parcel data and online queries to the OVC and electronic headquarters, with features like rate limiting and caching to optimize performance. Ideal for use cases requiring detailed and up-to-date cadastre data, such as urban planning, real estate, and geographic information systems (GIS).

Canonical page: https://skillsregistry.net/skills/mrgo2-catastro-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mrgo2-catastro-mcp

## Description

MCP server for the Spanish Cadastre, enabling local queries of official INSPIRE parcel data (area, geometry, neighboring parcels, searches) and online queries to the OVC and electronic headquarters for additional details, with rate limiting and caching.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rgqp4tk57d)
- **Repository:** <https://github.com/MrGo2/catastro-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mrgo2-catastro-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mrgo2-catastro-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mrgo2-catastro-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt