# mcp-chronicling-america

> mcp-chronicling-america — pipeworx-io-mcp-chronicling-america. Use this tool when you need to search and analyze historical American newspapers and publications from the past 150 years. It solves problems related to researching historical events, people, and cultural trends by providing full-text search capabilities. The tool accepts search queries as input and returns relevant articles and publications as output, making it ideal for historians, researchers, and scholars studying American history.

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

## Description

Chronicling America MCP — full-text search of ~150 years of digitized U.S.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-chronicling-america)

## 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-chronicling-america"
    }
  }
}
```

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