# San Diego Regional GIS MCP

> San Diego Regional GIS MCP — codeforanchorage-esri-living-atlas-mcp. Use this tool when you need to interact with San Diego County's geographic data through natural language, enabling discovery and spatial analysis of regional GIS datasets. It solves problems related to querying and analyzing layers such as parcels, floodplains, and transit, providing valuable insights for urban planning and development. The tool accepts natural language inputs and outputs relevant spatial data and analysis results, making it ideal for users who need to explore and understand San Diego County's geographic information.

Canonical page: https://skillsregistry.net/skills/codeforanchorage-esri-living-atlas-mcp  
JSON: https://api.skillsregistry.net/v1/skills/codeforanchorage-esri-living-atlas-mcp

## Description

Enables natural language interaction with SANDAG's regional GIS datasets for San Diego County, supporting discovery, querying, and spatial analysis of layers like parcels, floodplains, and transit.

## Trust

- **Trust score (0–1):** 0.08
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/olhskcp9ev)
- **Repository:** <https://github.com/codeforanchorage/esri-living-atlas-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": "codeforanchorage-esri-living-atlas-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/codeforanchorage-esri-living-atlas-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/codeforanchorage-esri-living-atlas-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