AI agent for R-Keeper
Connect R-Keeper to your AI agent through the WorkAist MCP server. RU restaurant POS
The WorkAist R-Keeper connector is a production-grade Model Context Protocol (MCP) server. AI agents can read and write R-Keeper data — pos — through one consistent interface. Open-source under AGPL-3.0, self-hosted, with reversible PII redaction at the LLM boundary.
Authentication & setup
The R-Keeper connector authenticates via API key.
Generate an API key in the service dashboard and paste it at install time. WorkAist encrypts it at rest.
Frequently paired with R-Keeper
FAQ
Can a WorkAist AI agent really automate R-Keeper end-to-end?▼
Yes. The connector exposes read and write tools through Model Context Protocol. AI agents call them through plain-language instructions in a CLAUDE.md file — no glue code.
How does this differ from using the R-Keeper API directly?▼
The connector adds permission isolation, audit logging, cost tracking per agent, and reversible PII redaction at the LLM boundary. It also presents R-Keeper as part of a unified Knowledge Graph alongside your other tools.
What does it cost?▼
WorkAist is open-source under AGPL-3.0 and self-hosted, so the connector itself is free. You pay only for R-Keeper's own API costs (if any) and the LLM tokens your agent consumes.
Is my R-Keeper data sent to a third party?▼
No. WorkAist runs in your own infrastructure. Data flows from R-Keeper → your WorkAist instance → the LLM you choose. Sensitive fields can be tokenized before reaching the LLM.
What if R-Keeper changes its API?▼
The connector is versioned and published openly. When R-Keeper ships breaking changes, we bump the connector version and the marketplace UI surfaces the upgrade as a one-click apply.