# mcp-statement-of-account

> mcp-statement-of-account — theluckystrike-mcp-statement-of-account. Use this tool when you need to generate accurate customer statements of account, manage accounts receivable, and track invoice aging. It solves problems related to invoicing and payment tracking by providing a clear and up-to-date picture of client debts, with automated drafting of chase letters. The tool takes in customer data and outputs a comprehensive statement of account, making it ideal for use in accounting and invoicing workflows.

Canonical page: https://skillsregistry.net/skills/theluckystrike-mcp-statement-of-account  
JSON: https://api.skillsregistry.net/v1/skills/theluckystrike-mcp-statement-of-account

## Description

Model Context Protocol (MCP) server for customer statements of account, accounts receivable and invoice aging. The one document that answers what a client actually owes you, aged as at any date, with the chaser drafted. Works with Claude Desktop, Claude Code and Cursor.

## 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:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/theluckystrike/mcp-statement-of-account)

## 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": "theluckystrike-mcp-statement-of-account"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/theluckystrike-mcp-statement-of-account` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/theluckystrike-mcp-statement-of-account/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