# arcgis-peoria

> Use this tool when you need to access and query geospatial data for the City of Peoria, Arizona, to retrieve information on parcels, zoning, and public works. It solves problems related to urban planning, development, and infrastructure management by providing AI agents with a natural language interface to ArcGIS feature services. The tool takes natural language queries as input and returns relevant GIS data as output, making it ideal for use cases that require spatial analysis and data-driven decision-making.

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

## Description

Enables search and query of City of Peoria, Arizona open geospatial datasets (parcels, zoning, public works) via ArcGIS feature services, allowing AI agents to access GIS data through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c9p5eiaqy7)
- **Repository:** <https://github.com/pipeworx-io/mcp-arcgis-peoria>

## 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-peoria"
    }
  }
}
```

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