square-automation

Featured

Automate Square tasks via Rube MCP (Composio): payments, orders, invoices, locations. Always search tools first for current schemas.

AI & Automation 40,440 stars 6528 forks Updated today MIT

Install

View on GitHub

Quality Score: 99/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Square Automation via Rube MCP Automate Square payment processing, order management, and invoicing through Composio's Square toolkit via Rube MCP. ## Prerequisites - Rube MCP must be connected (RUBE_SEARCH_TOOLS available) - Active Square connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `square` - Always call `RUBE_SEARCH_TOOLS` first to get current tool schemas ## Setup **Get Rube MCP**: Add `https://rube.app/mcp` as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works. 1. Verify Rube MCP is available by confirming `RUBE_SEARCH_TOOLS` responds 2. Call `RUBE_MANAGE_CONNECTIONS` with toolkit `square` 3. If connection is not ACTIVE, follow the returned auth link to complete Square OAuth 4. Confirm connection status shows ACTIVE before running any workflows ## Core Workflows ### 1. List and Monitor Payments **When to use**: User wants to view payment history or check payment status **Tool sequence**: 1. `SQUARE_LIST_PAYMENTS` - Retrieve payments with optional filters [Required] 2. `SQUARE_CANCEL_PAYMENT` - Cancel a pending payment if needed [Optional] **Key parameters**: - `begin_time` / `end_time`: RFC 3339 timestamps for date range filtering - `sort_order`: 'ASC' or 'DESC' for chronological ordering - `cursor`: Pagination cursor from previous response - `location_id`: Filter payments by specific location **Pitfalls**: - Timestamps must be RFC 3339 format (e.g., '2024-01-01T00:00:00Z') - Pagination required for ...

Details

Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category