readme.md

For the complete documentation index, see llms.txt. Markdown versions of documentation pages are available by appending .md to page URLs; this page is available as Markdown.

Getting Started

Kick is built with AI at its core, powering how transactions are categorized, reviewed, and closed. Connect MCP or CLI to take it further: query your client data in plain language, automate month-end checks, and build workflows that run across every workspace.

Both connect directly to Kick. The difference is how you interact with your data:

MCP CLI
How to use Your commonly used AI tools: Claude, ChatGPT, Gemini, Copilot, and more Terminal
What it is Connect an AI assistant (Claude, ChatGPT) and ask questions about client data in plain language Run terminal commands and scripts that pull data, check balances, and automate repeatable tasks
Best for Exploratory work, drafting client messages, investigating issues Repeatable checks, bulk exports, scheduled month-end automation
Use when The task is different every time and you want to ask follow-up questions You want to run the same check every month or hand a command to your team
Example "Show me Acme's uncategorized transactions from the last 90 days" kick --workspace acme reports trial-balance
Where to start MCP Quickstart CLI Quickstart

Read more about permissions and security when using AI with Kick or other tools.


Agent Instructions

This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the ask query parameter, and the optional goal query parameter:

GET https://docs.kick.co/ai/readme.md?ask=<question>&goal=<endgoal>

ask is the immediate question: it should be specific, self-contained, and written in natural language. goal is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.