# OpenUSPublicDataMCP

> OpenUSPublicDataMCP — happymonkeyai-openuspublicdatamcp. Use this tool when you need to access and utilize high-value US public data from various federal, state, and local sources. It solves problems related to data discovery, querying, and geographic analysis by providing a unified interface to search, query, and resolve geographic data from sources like Socrata, ArcGIS, and CKAN. Ideal for applications requiring authoritative US public data, such as research, policy analysis, and data-driven decision-making.

Canonical page: https://skillsregistry.net/skills/happymonkeyai-openuspublicdatamcp  
JSON: https://api.skillsregistry.net/v1/skills/happymonkeyai-openuspublicdatamcp

## Description

Enables access to high-value US public data sources via MCP, including federal agencies, state portals, and platforms like Socrata, ArcGIS, and CKAN, with tools for searching, querying, and geographic resolution.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gfyd452git)
- **Repository:** <https://github.com/HappyMonkeyAI/OpenUSPublicDataMCP>

## 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": "happymonkeyai-openuspublicdatamcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/happymonkeyai-openuspublicdatamcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/happymonkeyai-openuspublicdatamcp/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