# factorial-mcp-server

> factorial-mcp-server — ratek-20-factorial-mcp-server. Use this tool when you need to integrate AI agents with HR management systems, specifically to connect with Factorial and leverage its capabilities. It solves problems of data exchange and synchronization between AI models and HR systems, enabling seamless interactions and workflows. The factorial-mcp-server takes in AI agent requests and outputs Factorial HR data, facilitating automated decision-making and process optimization.

Canonical page: https://skillsregistry.net/skills/ratek-20-factorial-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ratek-20-factorial-mcp-server

## Description

Open-source MCP server implementing the Model Context Protocol to connect AI agents with Factorial, the HR Management System.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ratek-20/factorial-mcp-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ratek-20-factorial-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ratek-20-factorial-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ratek-20-factorial-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt