com.shiftyasan/mcp-server — Model Context Protocol (MCP) Server

The com.shiftyasan/mcp-server is an MCP server that generates optimized work shift schedules. It uses staffing demand, availability, and fairness rules as inputs to produce scheduling outputs.

🛠️ Key Features

Generates work shift schedules
Optimized based on staffing demand
Takes availability into account
Applies fairness rules

🚀 Use Cases

Scheduling workers for shifts based on staffing demand
Incorporating individual or group availability constraints
Enforcing fairness rules in shift assignment

⚠️ Limitations

Limited description available: no additional details provided on algorithms, output format, configuration options, or supported constraints beyond demand, availability, and fairness rules.

@shiftyasan/mcp-server

Model Context Protocol (MCP) server for the Shiftyasan public solver API. Lets AI agents (Claude Desktop, Cursor, Continue, etc.) call the shift-scheduling solver from any MCP-aware host.

Status: open beta — validate_shift_input, solve_shift, and get_solve_job (async polling for large problems). Usage queries (get_usage) coming next.

What is Shiftyasan?

Shiftyasan is a SaaS that auto-generates work shifts for businesses (retail, hospitality, healthcare, etc.) using a constraint-optimization engine. The same solver is exposed as a public HTTP API at https://api.shiftyasan.com/v1/public/*. This MCP server is a thin client wrapper that turns the API into discoverable tools for AI agents.

Developer documentation — quickstart, the full list of supported constraints, and pricing — lives at https://platform.shiftyasan.com (Japanese and English).

Tools

Tool	Description	Charged?
`validate_shift_input`	Validate a `SolveRequest` payload against the public-API schema (no solver).	No
`solve_shift`	Run the solver. Small/medium problems return synchronously; large problems (roughly 25+ employees) are queued and return `202` with a `job_id`.	Yes
`get_solve_job`	Poll an asynchronous job until `completed` / `failed`.	No

The full SolveRequest / SolveResponse schema lives in the OpenAPI spec at GET <base URL>/v1/public/openapi.json (base URL = SHIFTYASAN_BASE_URL, default https://api.shiftyasan.com).

Prompts

Prompt	What it does
`plan_shift`	Walks the agent through building a schedule: what to ask the user for, when to validate, and how to present the finished roster.

Both arguments (period, context) are optional, so it can be invoked bare. In Claude Code it shows up as /mcp__shiftyasan__plan_shift; other hosts surface prompts in their own UI.

Use it when you want the agent to interview you for the inputs rather than guessing them, or when a previous attempt produced a roster you could not check at a glance. The prompt tells the agent to render one row per person with the per-person totals on the right, which is what a shift manager reads first.

The server also sends workflow guidance in its initialize response (call validate_shift_input before solve_shift, poll get_solve_job on 202, how to read shortage markers and the infeasibility diagnosis). Hosts may add this to the model's system prompt; Claude Code does, Claude Desktop currently does not, which is why the same ordering rules also live in the tool descriptions.

Constraints the schema accepts but the solver does not apply yet

A few fields are accepted by the API and then dropped during translation, because the solver has no equivalent. validate_shift_input and solve_shift print an explicit warning listing exactly what was dropped, so an agent never reports them as honored.

Field	Status	Workaround
`employees[].preferences[].type: "avoided_shift"`	Not applied	Remove the shift from that employee's `assignable_shift_ids` (hard), or state a `preferred_shift` for the shift they should get instead
`employees[].working_days_per_week.max`	Only `min` is used	Use `working_days_per_month` for an upper bound over the period
`constraints.employee_pairings[].rule: "require"`	Not applied (only `exclude` works)	Use `fixed_assignments` to place them on the same shift

Everything else in the schema is applied by the solver.

Install

Use directly via npx (no global install needed):

bash

npx -y @shiftyasan/mcp-server

Also listed in the MCP Registry as com.shiftyasan/mcp-server.

Or install globally:

bash

npm install -g @shiftyasan/mcp-server
shiftyasan-mcp-server

Setup

1. Get an API key

Issue an sk_live_... key in the self-service dashboard: https://platform.shiftyasan.com/dashboard/ (your existing Shiftyasan account works; sign-up is also available). If anything goes wrong, email info@shiftyasan.com (Japanese or English).

Treat the token like a password: it grants access to your solver quota.

Beta note: you may receive a base URL different from the default — set it via SHIFTYASAN_BASE_URL (see below).

2. Configure your MCP host

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%/Claude/claude_desktop_config.json (Windows):

json

{
  "mcpServers": {
    "shiftyasan": {
      "command": "npx",
      "args": ["-y", "@shiftyasan/mcp-server"],
      "env": {
        "SHIFTYASAN_API_KEY": "sk_live_..."
      }
    }
  }
}

Restart Claude Desktop. The shiftyasan server appears in the tools menu and exposes validate_shift_input, solve_shift, and get_solve_job.

Claude Code

bash

claude mcp add shiftyasan -e SHIFTYASAN_API_KEY=sk_live_... -- npx -y @shiftyasan/mcp-server

(Add -e SHIFTYASAN_BASE_URL=... if you were given a beta base URL.)

Cursor / Continue / other MCP hosts

Add to your MCP server config in the same shape (command + args + env). Refer to your host's docs for the exact config file path.

Using from ChatGPT

ChatGPT cannot spawn local stdio MCP servers like this package, so use the HTTP API directly through a Custom GPT with Actions (the OpenAPI spec is designed to be Actions-compatible — fully inlined schemas, no external refs):

ChatGPT → My GPTs → Create a GPT → Configure → Actions → Import from URL, and enter <base URL>/v1/public/openapi.json (base URL = the one you received with your API key; default https://api.shiftyasan.com).
If you were given a beta base URL, also edit the imported schema's servers[0].url to <base URL>/v1/public.
Authentication → API Key → Auth Type Bearer → paste your sk_live_... token.
Suggested GPT instructions:

You can build optimized work shift schedules with the Shiftyasan actions. Always call the validate action first (free), then solve. Large problems return 202 with a job_id — poll the job endpoint every ~15 seconds until the status is "completed" or "failed".

Notes: creating custom GPTs requires a paid ChatGPT plan, and the API key is stored inside the GPT — do not share that GPT publicly.

ChatGPT's MCP connectors only support hosted MCP endpoints (Streamable HTTP), not local stdio processes. A hosted MCP endpoint is on our roadmap; until then, use Actions as above.

Environment variables

Variable	Required	Description
`SHIFTYASAN_API_KEY`	yes	Bearer API key. Format: `sk_(live\|test)_<64 hex chars>`.
`SHIFTYASAN_BASE_URL`	no	Override base URL (default `https://api.shiftyasan.com`). Useful for staging or self-host.

Example session

In Claude Desktop, after configuring:

You: Schedule 3 employees over the first week of June across morning and evening shifts. Use Shiftyasan.

Claude will discover the tools, call validate_shift_input to confirm the payload it constructed is acceptable, then call solve_shift to get the assignment. Errors from the API (RFC 7807) are surfaced inline so Claude can self-correct (e.g., "staffing_demand length must equal schedule_days").

Pricing

The open beta is free. Each API key comes with a free usage quota (solve_shift consumes units per call; validate_shift_input is always free). Check your remaining quota with GET /v1/public/usage using your key. When you run out, email info@shiftyasan.com to get more.

Paid plans are planned after the beta. The MCP server itself never charges; all metering happens against your SHIFTYASAN_API_KEY on the API side.

Local development

bash

git clone https://github.com/shiftyasan/mcp-server.git
cd mcp-server
npm install
npm run build
npm test

To run against a local gateway:

bash

SHIFTYASAN_API_KEY=sk_test_... \
SHIFTYASAN_BASE_URL=http://localhost:8080 \
  npm run dev

Test interactively with the MCP inspector:

bash

npx @modelcontextprotocol/inspector node dist/index.js

Reporting issues

MCP server bugs / requests: https://github.com/shiftyasan/mcp-server/issues
Underlying API issues: contact info@shiftyasan.com

License

MIT — see LICENSE.

Shiftyasan Shift Scheduling

com.shiftyasan/mcp-server — Model Context Protocol (MCP) Server

🛠️ Key Features

🚀 Use Cases

⚠️ Limitations

@shiftyasan/mcp-server

What is Shiftyasan?

Tools

Prompts

Constraints the schema accepts but the solver does not apply yet

Install

Setup

1. Get an API key

2. Configure your MCP host

Claude Desktop

Claude Code

Cursor / Continue / other MCP hosts

Using from ChatGPT

Environment variables

Example session

Pricing

Local development

Reporting issues

License

Install

Configuration