# mcp-arcgis-carlsbad

> Use this tool when you need to search and query geospatial datasets for the City of Carlsbad, California, to retrieve information on parcels, zoning, and public works. It solves problems related to urban planning, development, and infrastructure management by providing access to ArcGIS Feature Services. The tool accepts SQL-like conditions as input and returns layer schema and queried data as output, making it ideal for use cases that require spatial data analysis and mapping.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-arcgis-carlsbad  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-arcgis-carlsbad

## Description

Enables searching and querying City of Carlsbad, California open geospatial datasets (parcels, zoning, public works) via ArcGIS Feature Services. Provides tools to search datasets, query layers with SQL-like conditions, and retrieve layer schema.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j2hbn8btmy)
- **Repository:** <https://github.com/pipeworx-io/mcp-arcgis-carlsbad>

## 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": "pipeworx-io-mcp-arcgis-carlsbad"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-arcgis-carlsbad` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-arcgis-carlsbad/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