smarthr-member-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SMARTHR_URL | Yes | Your SmartHR tenant URL, e.g. https://<your-tenant>.smarthr.jp (set via `claude mcp add ... -e SMARTHR_URL=...` or the `env` block of the MCP server config). | |
| SMARTHR_PROFILE_DIR | No | Directory where the browser login state (Chrome profile) is stored. Defaults to ~/.smarthr-member-mcp/profile; change it with SMARTHR_PROFILE_DIR. | ~/.smarthr-member-mcp/profile |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_payslipsA | 指定した年(支給日基準)の給与明細・賞与明細を取得し、勤怠・支給・控除・その他の項目を返す。 初回やログインが切れているときは Chrome が開くので、そこで手動ログインする。 |
| estimate_incomeA | 年末調整用に、指定した年(省略時は今年)の「給与の収入金額(見込額)」を計算する。 発行済みの明細は実額、最後の給与明細より後の月は最新の給与明細(昇給を反映)と前年同月の賞与で推計する。 rows の estimated=true が推計分。賞与額の変更などが分かっていれば rows を見て補正すること。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have clearly distinct roles: list_payslips is a data-retrieval tool for a given year, while estimate_income is a computation tool for year-end adjustment income projection. An agent can easily decide which to call based on whether it needs raw slips or an annual estimate.
Both names follow the same snake_case verb_noun convention (list_payslips, estimate_income), with verbs that accurately reflect the operation type. No mixing of conventions or vague names.
Two tools is thin for a payslip/income domain; there is no way to fetch a single month's detail, check login/session status, or list bonuses independently. The scope is narrow enough that it isn't egregious, but the surface feels minimal.
Core retrieval and estimation are covered, but notable gaps exist: no per-month detail lookup, no session/auth status tool despite the manual-login flow, and no way to correct or annotate estimated rows beyond reading them. Agents can work around these only by parsing the year-level rows.