Content
# mcp-mayo
[](https://pypi.org/project/mcp-mayo/)
[](https://pypi.org/project/mcp-mayo/)
[](https://opensource.org/licenses/MIT)
[](https://modelcontextprotocol.io/)
[](https://github.com/asgard-ai-platform/mcp-mayo/stargazers)
[](https://github.com/asgard-ai-platform/mcp-mayo/issues)
[](https://github.com/asgard-ai-platform/mcp-mayo/commits/main)
MCP Server for [MAYO Apollo](https://www.mayohr.com/) — exposes the HRM platform's Foundation (人事), Attendance (差勤), and Payroll (薪資勞健保) APIs as AI-callable tools via the [Model Context Protocol](https://modelcontextprotocol.io/).
[繁體中文](README.zh-TW.md) · Part of the [Asgard AI Platform](https://github.com/asgard-ai-platform) open-source ecosystem.
## Features
- **33 tools** — 28 thin wrappers around every MAYO Apollo endpoint plus 5 semantic compositions
- **Three backend domains** — Foundation, Attendance, Payroll — served from one MCP server with a single `hrmlicense` API key
- **Date-format normalization** — callers use ISO `YYYY-MM-DD` / `YYYY-MM`; the server converts to each endpoint's expected format internally
- **Semantic aggregations** — one-call helpers like `get_employee_profile`, `get_organization_snapshot_as_of`, `get_attendance_summary`
- **Typed with Pydantic** — every parameter has a description the AI can see
- **E2E test runner** — exercises every registered tool against the live PRE environment
## Prerequisites
- Python 3.10+
- `uv` (recommended) or `pip`
- A MAYO-issued `hrmlicense` API key with read access to the FD / PT / PY backends you plan to call
## Installation
### From source (current state)
```bash
git clone https://github.com/asgard-ai-platform/mcp-mayo.git
cd mcp-mayo
uv sync
cp .env.example .env
# Edit .env and set MAYO_API_KEY
```
### From PyPI (once published)
```bash
uv add mcp-mayo
# or
pip install mcp-mayo
```
## Configuration
| Env var | Required | Purpose |
|---|---|---|
| `MAYO_API_KEY` | Yes | The token value placed on the `hrmlicense` header; authenticates Foundation, Attendance, and Payroll in a single credential |
## Usage
### Run locally
```bash
uv run --env-file .env python mcp_server.py
```
### Claude Desktop
```json
{
"mcpServers": {
"mayo": {
"command": "uvx",
"args": ["mcp-mayo"],
"env": {
"MAYO_API_KEY": "your_hrmlicense_token"
}
}
}
}
```
### Claude Code (`.mcp.json`)
```json
{
"mcpServers": {
"mayo": {
"command": "uv",
"args": ["run", "mcp-mayo"],
"cwd": "${PWD}",
"env": {
"PYTHONPATH": "${PWD}",
"MAYO_API_KEY": "${MAYO_API_KEY}"
}
}
}
}
```
### Cursor / other IDEs
Point the MCP client at `uvx mcp-mayo` with `MAYO_API_KEY` in its environment.
## Tools
### Semantic (recommended for AI use)
| Tool | What it does |
|---|---|
| `get_employee_profile` | One employee's PA + work history + education in a single call |
| `get_organization_snapshot_as_of` | Org tree + active headcount for a date |
| `get_attendance_summary` | History + abnormal + overtime + leave fan-out over a range |
| `search_active_employees` | `list_active_employees` with today as default |
| `get_monthly_payroll_report` | Single-month salary/bonus roster using ISO `YYYY-MM` |
### Foundation (FD) — 15
`list_active_employees` ¹, `list_resigned_employees` ¹, `get_organization_tree` ¹, `export_organization_with_employees`, `export_employees`, `export_departments`, `export_organization_full`, `export_employees_full`, `export_expatriations`, `export_working_history`, `export_education_history`, `export_employee_changes`, `export_organization_changes`, `export_pa_options`, `export_company_custom_fields`
### Attendance (PT) — 8
`get_attendance_rules`, `get_attendance_history`, `get_attendance_abnormal`, `get_forgot_checkin_records`, `get_leave_history`, `get_employee_calendar`, `get_overtime_records`, `get_trip_history` ²
### Payroll (PY) — 5
`get_monthly_labor_insurance` ², `get_monthly_nhi` ², `get_monthly_labor_pension` ², `get_salary_insurance_detail`, `get_salary_bonus_list`
¹ The three `/ClientOut/ReportCenter/*` routes (plus the two semantic wrappers `search_active_employees` and `get_organization_snapshot_as_of` that depend on them) currently return 404 on the PRE Foundation backend. The tools stay exposed so they work the moment MAYO redeploys these endpoints.
² Flagged as failing upstream in MAYO's own Postman collection. Same story — tool stays, docstring carries a `KNOWN ISSUE` note.
## Usage Examples
### "Who was active in department C030010 yesterday?"
> **You:** 昨天 C030010 部門還在職的人列一下
**AI calls:**
```
search_active_employees(
dept_code = "C030010",
)
```
**Result:** `SUCCESS` — returns the active-employee list from the Foundation backend with today as the effective date.
### "Give me A00384's full profile"
> **You:** 給我員編 A00384 的完整資料
**AI calls:**
```
get_employee_profile(
employee_number = "A00384",
)
```
**Result:** `SUCCESS` — aggregates `/PA`, `/Working`, and `/Education`, locally filtered to A00384.
### "Attendance picture for the first week of September"
> **You:** 9/1 到 9/7 的出勤統計,含異常跟加班
**AI calls:**
```
get_attendance_summary(
start_date = "2025-09-01",
end_date = "2025-09-07",
)
```
**Result:** `SUCCESS` — returns history, abnormal, overtime, and leave sections for the range.
### "January salary roster"
> **You:** 2025-01 的薪資發放清冊
**AI calls:**
```
get_monthly_payroll_report(
year_month = "2025-01",
)
```
**Result:** `SUCCESS` — converts to `2025/01` under the hood and calls SalaryBonusList.
## Architecture
```
stdio (JSON-RPC 2.0)
→ mcp_server.py entry point; imports tool modules
→ app.py FastMCP("mcp-mayo") singleton
→ tools/ @mcp.tool() decorated functions
foundation_tools.py 15 FD wrappers
attendance_tools.py 8 PT wrappers
payroll_tools.py 5 PY wrappers
semantic_tools.py 5 high-level compositions
→ connectors/rest_client.py retry + multi-domain URL resolution
→ auth/api_key.py builds {"hrmlicense": <MAYO_API_KEY>}
→ config/settings.py BASE_URLS + ENDPOINTS (keyed by domain)
```
## Testing
```bash
uv run --env-file .env python scripts/auth/test_connection.py # probes FD / PT / PY
uv run --env-file .env python tests/test_all_tools.py # runs every tool
```
## Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md).
## License
MIT — see [LICENSE](LICENSE).
MCP Config
Below is the configuration for this MCP Server. You can copy it directly to Cursor or other MCP clients.
mcp.json
Connection Info
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