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Payroll Automation.
AI-ready from the ground up.

The Payroll Engine platform exposes a full REST API and a read-only MCP Server in the open-source release. The commercial automation products extend this with write access and deep regulation context — so AI assistants can not only read payroll data but actively build, test, and maintain regulations. Two products: a write-capable MCP server for tool-based AI workflows, and a structured LLM context package for regulation development.

Both products connect AI assistants to the Payroll Engine platform — for writing regulations, running consolidations, and exploring payroll data.

Request Access → About the OSS Foundation
Background

What is MCP — and why does it matter for payroll?

MCP (Model Context Protocol) is an open standard, originally developed by Anthropic, that allows AI assistants to connect to external tools and data sources. Instead of pasting data into a chat, the AI reads and writes directly through structured tool calls — files, APIs, databases, or application backends.

An MCP server exposes a set of callable tools. The AI assistant (Claude, GPT, or any MCP-compatible client) discovers these tools and invokes them autonomously as part of a workflow — no manual copy-paste, no context loss.

Payroll regulation development is a particularly strong fit. A regulation consists of dozens of interdependent wage types, lookup tables, case fields, and test scenarios — all of which must stay internally consistent and comply with statutory rules. This is exactly the kind of structured, multi-step, high-stakes work where AI assistance has the most leverage.

With MCP, an AI assistant can read the current regulation state, author new wage types, run a payrun to verify results, and iterate — all within a single session, with full audit visibility.

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Commercial · Pro
MCP Server Pro v1.0-beta

A write-capable MCP server that gives AI assistants full access to the Payroll Engine backend — covering three operational pillars: payroll analysis, conversational data entry, and payrun control.

  • Analysis — 29 read-only tools query employees, case values, payrun results, wage types, lookups, and reports; consolidation tools aggregate across tenants and currencies
  • Data Entry — AI-driven case input: discover available cases, build the field schema, conduct a conversational dialog, and submit case changes — no form, no frontend code
  • Payrun Control — start payrun jobs (preview, forecast, legal), run integration tests against exchange files, and verify compliance against external reference data
  • Regulation development: import/export regulations, author wage types and lookups
  • Compatible with Claude Desktop, GPT-4o, Cursor, and any MCP client
  • Stdio transport — runs locally, no network exposure
  • Permission-scoped: configurable read/write access per role (HR, Payroll, Report, System)
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Transport
stdio (local, no network exposure)
Compatible with
Claude Desktop GPT-4o Cursor IDE Any MCP client
Tool categories
Tenants Regulations WageTypes Cases Lookups Payruns Reports Consolidation
Compared to OSS MCP Server
OSS server is read-only (29 tools). Pro adds full write tools, consolidation tools, and Payroll Engine Pro context.
Commercial · Pro
AI Context Pro v1.0-beta

A comprehensive LLM context package for payroll regulation development — best practices, object schemas, scripting references, and country-specific knowledge for all country regulations.

  • Complete Payroll Engine regulation development best practices (all topics)
  • JSON schema references for every Payroll Engine object type
  • No-Code action syntax and token reference
  • Scripting API reference with examples per runtime method
  • Country-specific context for all country regulations (tax rules, SV structure, edge cases)
  • Payrun, retro, reporting, and compliance patterns
  • Cursor / Claude / GPT compatible (.md + .json format)
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Format
Markdown + JSON, compatible with all major LLM toolchains
Coverage
WageTypes Cases Lookups No-Code Scripting Retro Reporting Testing Compliance
Country context
ATBECH DEESFR LUNLPT UKUS
Compared to AiContext OSS
OSS AiContext covers MCP + REST API (public). Pro adds full regulation authoring context, country-specific knowledge, and compliance patterns.
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Note on the OSS MCP Server: The open-source Payroll Engine ships a read-only MCP Server (29 tools, MIT license) at no cost. MCP Server Pro extends this with write access, consolidation tooling, and Pro context. You can evaluate the OSS server before purchasing Pro.
Request Access → Country Regulations → About the OSS Foundation