# billingo-mcp

> billingo-mcp — octonull-billingo-mcp. Use this tool when you need to integrate AI-powered data access and tools with Billingo's Model Context Protocol (MCP) server implementations. It provides a catalog of official implementations for seamless data exchange and tool integration, solving problems of data compatibility and accessibility. With git capabilities, it offers a version-controlled interface for inputs and outputs, making it ideal for development and deployment contexts.

Canonical page: https://skillsregistry.net/skills/octonull-billingo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/octonull-billingo-mcp

## Description

Catalog of official Billingo MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/octonull/billingo-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": "octonull-billingo-mcp"
    }
  }
}
```

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