Recite – I built an Skill and MCP so my AI agent does my bookkeeping

Hi HN,

I’m an indie dev, and as my tech stack grew, so did the number of SaaS subscriptions and invoices. Every month, I’d get a chaotic pile of PDFs and image receipts. I absolutely hate bookkeeping. It breaks my flow state, and honestly, the last thing I want to do on a weekend is open an Excel spreadsheet to manually input tax data.

So I built Recite. Originally, it was just a simple web app that used vision models to parse receipts into clean CSV. But I realized I didn't even want to log into my own web app.

So I pivoted and turned it into a Public APIs/agent skill and an MCP server. Now, I just download all my invoices into a single local folder and tell my agent (I use OpenClaw), "Process my receipts."

The agent hits the Recite API, reads the images/PDFs, categorizes them using standard accounting logic, renames the files by date, and generates a structured CSV for me. I literally don't look at spreadsheets anymore.

How to use it:

Public API: Because we all love APIs. Agent Skill: The easiest way to let your agent do the work in environments like OpenClaw or Claude Desktop. MCP Server: If you want more control and want to build your own custom agentic workflows.

I’m currently focused on maxing out accuracy and keeping costs as close to zero as possible. There’s a generous free tier for indie devs because I know the pain.

I would love for you to try hooking it up to your agents and see if it saves you as much time as it saves me. Any feedback on the API or the categorization logic is highly appreciated!

Website: https://recite.rivra.dev/

API Docs: https://recite.rivra.dev/docs/api

MCP Setup: https://recite.rivra.dev/help#mcp-server

GitHub Skill: https://github.com/rivradev/recite-agent-skill