# AddressPenny MCP Server

> Use this tool when you need to validate and clean postal addresses, or extract addresses from unstructured text, to ensure data accuracy and completeness. It solves problems related to address data quality, providing reliable outputs for various applications. The AddressPenny MCP Server takes in address lists or text inputs and returns validated and formatted address outputs, making it ideal for use cases involving data cleansing and address extraction.

Canonical page: https://skillsregistry.net/skills/canalweststudio-addresspenny-mcp  
JSON: https://api.skillsregistry.net/v1/skills/canalweststudio-addresspenny-mcp

## Description

An MCP server for AddressPenny address validation that enables users to validate postal addresses, bulk-clean address lists, and extract addresses from unstructured text through Claude Desktop, Cursor, and other MCP-compatible agents.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zo1vou11mx)
- **Repository:** <https://github.com/CanalWestStudio/addresspenny-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": "canalweststudio-addresspenny-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/canalweststudio-addresspenny-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/canalweststudio-addresspenny-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