# invoiceshelf-mcp

> invoiceshelf-mcp — homeserverhq-invoiceshelf-mcp. Use this tool when you need to securely manage financial documents and data through a multi-tenant proxy, enabling AI assistants to handle invoices, estimates, and payments. It solves problems related to financial data management, providing a secure interface for inputs such as customer information and outputs like payment confirmations. Ideal for use cases requiring efficient token usage and secure data proxying, such as automating accounting tasks or integrating financial services with AI systems.

Canonical page: https://skillsregistry.net/skills/homeserverhq-invoiceshelf-mcp  
JSON: https://api.skillsregistry.net/v1/skills/homeserverhq-invoiceshelf-mcp

## Description

An MCP server that acts as a secure, multi-tenant proxy to the InvoiceShelf API, enabling AI assistants to manage invoices, estimates, customers, payments, expenses, and more with 109 tools and TOON compression for efficient token usage.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yn7op0xiee)
- **Repository:** <https://github.com/homeserverhq/invoiceshelf-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": "homeserverhq-invoiceshelf-mcp"
    }
  }
}
```

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