mcp-mayo
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-mayoGet me the employee profile for ID 1002"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-mayo
MCP Server for MAYO Apollo — 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.
繁體中文 · Part of the 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
hrmlicenseAPI keyDate-format normalization — callers use ISO
YYYY-MM-DD/YYYY-MM; the server converts to each endpoint's expected format internallySemantic aggregations — one-call helpers like
get_employee_profile,get_organization_snapshot_as_of,get_attendance_summaryTyped 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) orpipA MAYO-issued
hrmlicenseAPI key with read access to the FD / PT / PY backends you plan to call
Installation
From source (current state)
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_KEYFrom PyPI (once published)
uv add mcp-mayo
# or
pip install mcp-mayoConfiguration
Env var | Required | Purpose |
| Yes | The token value placed on the |
Usage
Run locally
uv run --env-file .env python mcp_server.pyClaude Desktop
{
"mcpServers": {
"mayo": {
"command": "uvx",
"args": ["mcp-mayo"],
"env": {
"MAYO_API_KEY": "your_hrmlicense_token"
}
}
}
}Claude Code (.mcp.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 |
| One employee's PA + work history + education in a single call |
| Org tree + active headcount for a date |
| History + abnormal + overtime + leave fan-out over a range |
|
|
| Single-month salary/bonus roster using ISO |
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
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 toolContributing
See CONTRIBUTING.md.
License
MIT — see LICENSE.
This server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/asgard-ai-platform/mcp-mayo'
If you have feedback or need assistance with the MCP directory API, please join our Discord server