# structured-address-fix-mcp

> structured-address-fix-mcp — sebastienrousseau-structured-address-fix-mcp. Use this tool when you need to classify, assess, and remediate postal addresses to ensure compliance with ISO 20022 standards. It solves address formatting issues for debtor and creditor data, preparing it for the November 2026 structured-address cutover. The tool takes unstructured address data as input and outputs standardized, corrected addresses, making it ideal for use cases involving financial transactions and data migration.

Canonical page: https://skillsregistry.net/skills/sebastienrousseau-structured-address-fix-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sebastienrousseau-structured-address-fix-mcp

## Description

An MCP server that exposes ISO 20022 postal-address classification, assessment, and remediation tools for AI agents, enabling them to prepare debtor/creditor addresses for the November 2026 structured-address cutover.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gtcwftvjrg)
- **Repository:** <https://github.com/sebastienrousseau/structured-address-fix-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": "sebastienrousseau-structured-address-fix-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sebastienrousseau-structured-address-fix-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sebastienrousseau-structured-address-fix-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