# San Diego GIS MCP

> San Diego GIS MCP — codeforanchorage-sandiego-gis-mcp. Use this tool when you need to access and query regional GIS data for the San Diego area, solving problems related to urban planning, environmental analysis, and infrastructure development. It provides a user-friendly interface for natural-language queries, accepting location-based inputs and returning relevant data from hundreds of layers, including parcels, floodplains, and land use. Ideal for use cases requiring spatial analysis and mapping, such as transit planning, emergency response, and zoning regulation.

Canonical page: https://skillsregistry.net/skills/codeforanchorage-sandiego-gis-mcp  
JSON: https://api.skillsregistry.net/v1/skills/codeforanchorage-sandiego-gis-mcp

## Description

Serves SANDAG/SanGIS regional GIS data from SANDAG's ArcGIS Enterprise portal, enabling natural-language queries for parcels, floodplains, address points, transit, land use, and hundreds of other layers.

## Trust

- **Trust score (0–1):** 0.26
- **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/wvmy00fvoa)
- **Repository:** <https://github.com/codeforanchorage/sandiego-gis-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-sandiego-gis-mcp"
    }
  }
}
```

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

---
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