# Worcester GIS MCP

> Worcester GIS MCP — codeforanchorage-sandiego-city-mcp. Use this tool when you need to explore and query geographic data for the City of Worcester through natural language. It solves problems related to dataset discovery, spatial analysis, and geocoding, providing outputs such as dataset information, spatial query results, and geocoded locations. The tool takes natural language inputs and can be used in contexts where users need to quickly access and analyze Worcester's open data.

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

## Description

Enables querying and exploring the City of Worcester's open data portal (ArcGIS Hub) through natural language, including dataset search, type filtering, schema inspection, spatial point-in-polygon queries, and geocoding.

## Trust

- **Trust score (0–1):** 0.16
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/liuarxj42z)
- **Repository:** <https://github.com/codeforanchorage/sandiego-city-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-city-mcp"
    }
  }
}
```

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