# mcp-arcgis-sacramento

> mcp-arcgis-sacramento — pipeworx-io-mcp-arcgis-sacramento. Use this tool when you need to access and analyze geospatial data for the City of Sacramento, such as parcels, zoning, and public works information. It enables querying and exploration of open datasets via ArcGIS Feature Services, providing valuable insights for urban planning, development, and research. Ideal for use cases requiring spatial analysis and mapping of Sacramento's geographic data.

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

## Description

Enables querying and exploring City of Sacramento GIS open geospatial datasets (parcels, zoning, public works) via ArcGIS Feature Services.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m5pagpcav6)
- **Repository:** <https://github.com/pipeworx-io/mcp-arcgis-sacramento>

## 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-sacramento"
    }
  }
}
```

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