# mcp-gov-auctions

> mcp-gov-auctions — pipeworx-io-mcp-gov-auctions. Use this tool when you need to retrieve government auctions data for physical assets, such as surplus, seized, or forfeited items, and query auction information using natural language inputs. It solves problems related to accessing and retrieving auction data, providing outputs in a machine-readable format. Ideal for use cases requiring automated auction monitoring, tracking, and analysis, with inputs including natural language queries and outputs featuring relevant auction details.

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

## Description

Provides access to government auctions data for physical-asset auctions including surplus, seized, and forfeited items. Designed for AI agents to query and retrieve auction information via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hz30xwnel5)
- **Repository:** <https://github.com/pipeworx-io/mcp-gov-auctions>

## 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-gov-auctions"
    }
  }
}
```

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