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Appointment Scheduler

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Exposes the Appointment Scheduler API to AI agents as an MCP server, enabling them to list users and services, check availability, book, list, and cancel appoin

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About

Exposes the Appointment Scheduler API to AI agents as an MCP server, enabling them to list users and services, check availability, book, list, and cancel appointments via natural language.

README

CI

A small REST API for booking, rescheduling, and cancelling appointments, built with Node.js, Express, and TypeScript. Data is kept in an in-memory store, so it's meant for local development, demos, and testing rather than production use.

Full CRUD for appointments, users, and services, plus provider availability lookups — matching the accompanying OpenAPI spec.

Component diagram

flowchart LR
    Client([HTTP Client])

    subgraph API["Express App (src/app.ts)"]
        AuthMW["Auth middleware\nBearer token check"]
        Routes["Routes\nappointments / users /\navailability / services"]
        Controllers["Controllers\nvalidation +\nbusiness rules"]
        Store[("In-memory data store\n(data/store.ts)")]
        ErrorMW["Error middleware\nApiError -> 400/401/404/409,\nelse 500"]
    end

    Client -- "HTTP request" --> AuthMW
    AuthMW --> Routes
    AuthMW -. "throws ApiError (401)" .-> ErrorMW
    Routes --> Controllers
    Controllers -- "read / write" --> Store
    Store -. "data" .-> Controllers
    Controllers -. "throws ApiError" .-> ErrorMW
    Controllers -- "JSON response" --> Client
    ErrorMW -- "JSON response" --> Client

GET /health bypasses the auth middleware entirely (not pictured above, for simplicity) — deploy platforms and load balancers need to reach it without a token. Rate limiting (see below) sits between the health route and the auth middleware, so it also isn't pictured — a 429 from it never reaches ErrorMW, since express-rate-limit sends its own JSON response directly.

Requirements

  • Node.js 18+ (developed/tested on Node 22)
  • npm

Install

npm install

Environment variables

Copy the example file and adjust as needed:

cp dev.env.example dev.env
Variable Description Default
PORT Port the HTTP server binds to 8080
API_TOKEN Bearer token accepted in the Authorization header; default rate-limit tier changeme
AGENT_API_TOKEN Alternate bearer token, identical API access, higher rate-limit tier (used by the MCP server) changeme-agent
API_BASE_URL Only used by the MCP server to reach the running API http://localhost:${PORT ?? 8080}

dev.env is loaded automatically on startup (via dotenv) and is git-ignored, so local overrides never get committed. dev.env.example is the committed template — keep it in sync whenever a new variable is added.

Run

# Development (auto-reload on file changes)
npm run dev

# Production
npm run build
npm start

The server listens on http://localhost:8080 by default. Override the port by setting PORT in dev.env (or as an environment variable directly). Every request is logged to stdout (method, path, status, response time) via morgan.

Authentication

Every endpoint requires a bearer token matching either API_TOKEN or AGENT_API_TOKEN, sent in the Authorization header:

curl http://localhost:8080/services \
  -H "Authorization: Bearer $API_TOKEN"

Missing, malformed, or incorrect tokens get a 401 response. Both tokens grant identical API access (no per-user login, sessions, or expiry, and no permission differences between them) — enough to demonstrate an auth-protected API without adding a user/identity system to a project meant to stay small. The only difference between the two tokens is the rate-limit tier they get (see below).

Rate limiting

Every endpoint except /health is rate-limited per IP. Requests authenticated with AGENT_API_TOKEN get 150 requests/minute; requests authenticated with the default API_TOKEN get 60. The tier is determined entirely by which token was used to authenticate, not by any header the caller sends — an earlier version of this used a self-declared X-Client-Type header instead, but that let any caller claim the higher tier for free by just setting a header, so it was replaced with this token-based check. The tier is also echoed into the server logs ([client=agent]) and the business-rule log lines in the controllers, so agent traffic is visible and distinguishable from human traffic without any extra tracing. Exceeding the limit returns 429.

curl http://localhost:8080/services \
  -H "Authorization: Bearer $AGENT_API_TOKEN"

Booking rules

POST /appointments and PUT /appointments/:id reject a date that's before today or more than a year out (400). Combined with the fixed weekly schedule in PROVIDER_BASE_SLOTS, this keeps bookings within a sensible window without needing a real calendar/scheduling system behind it. The full set of validation rules (unknown user/provider/service, time slots the provider doesn't offer, etc.) is documented in the OpenAPI spec.

MCP server

src/mcp/server.ts exposes this API to AI agents as an MCP server over stdio — list_users, list_services, check_availability, book_appointment, list_appointments, and cancel_appointment. It's a normal authenticated HTTP client of the real running API (it calls /appointments, /users, etc. over fetch, sending Authorization: Bearer $AGENT_API_TOKEN) — it doesn't import controllers or touch the in-memory store directly, so everything in the Rate limiting and Booking rules sections above applies to it exactly as it would to any other caller.

Two deliberate restrictions, both enforced in the MCP tool layer rather than the REST API: there's no create_user tool (the REST API supports creating users; agents can't autonomously add identity records through MCP), and list_users only returns id/name — never email/phone — since that's all book_appointment's name matching actually needs. GET /users itself is unaffected by either restriction; a normal authorized caller still gets full user records.

Run the API first, then the MCP server in a separate terminal:

npm run dev    # terminal 1 — the real API, must be running
npm run mcp    # terminal 2 — the MCP server (stdio)

To try it interactively without wiring up an agent, use the MCP Inspector:

npx @modelcontextprotocol/inspector npx tsx src/mcp/server.ts

To point a real reasoning agent at it instead, register it with Claude Code (claude mcp add, or by hand in its MCP config) using the same command the scripts above run, with AGENT_API_TOKEN and API_BASE_URL passed explicitly:

{
  "mcpServers": {
    "appointment-scheduler": {
      "command": "npx",
      "args": [
        "tsx",
        "/absolute/path/to/appointment-scheduler-api/src/mcp/server.ts"
      ],
      "env": {
        "AGENT_API_TOKEN": "local-dev-agent-token",
        "API_BASE_URL": "http://localhost:8080"
      }
    }
  }
}

Test

# Run the test suite once
npm test

# Watch mode
npm run test:watch

# Type-check only
npm run lint

Tests use Vitest and Supertest to exercise the Express app directly (no running server required), covering the main CRUD flows and the 400/401/404/409 error paths for each resource, plus a dedicated rate-limiter unit test (src/middleware/rateLimiter.test.ts) and a contract-test suite (src/test/contract/) that validates real responses against docs/openapi.yaml's schemas, so the spec can't silently drift from what the API actually returns. A GitHub Actions workflow (.github/workflows/ci.yml) runs npm run lint and npm test on every push and pull request.

Project structure

src/
  types/               Shared TypeScript interfaces
  data/store.ts        In-memory seed data and id counters
  utils/               ApiError, and client-type detection for logs/rate limiting
  controllers/         Request handling + validation per resource
  routes/              Express routers, one per resource
  middleware/          Auth, rate limiting, 404, and centralized error handling
  mcp/                 MCP server exposing the API as agent-callable tools
  test/contract/       Validates real responses against docs/openapi.yaml
  app.ts               Express app factory
  index.ts             Server entrypoint

API docs

  • OpenAPI spec: docs/openapi.yaml describes every endpoint, request/response schema, and error case. Paste it into editor.swagger.io or any OpenAPI viewer to browse it interactively.

API overview

Method Path Description
GET /health Health check (no auth required)
GET /appointments List all appointments
POST /appointments Book a new appointment
GET /appointments/:id Get a specific appointment
PUT /appointments/:id Reschedule an appointment
DELETE /appointments/:id Cancel an appointment
GET /users List all users
POST /users Create a new user
GET /users/:id Get a specific user
PUT /users/:id Update a user
DELETE /users/:id Delete a user (409 if they have appointments)
GET /availability List provider availability
GET /services List all services
POST /services Create a new service
GET /services/:id Get a specific service
PUT /services/:id Update a service
DELETE /services/:id Delete a service (409 if it has appointments)

Full request/response shapes are defined in the OpenAPI spec provided with this project.

License

License

from github.com/ProductDock/appointment-scheduler-api

Installing Appointment Scheduler

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/ProductDock/appointment-scheduler-api

FAQ

Is Appointment Scheduler MCP free?

Yes, Appointment Scheduler MCP is free — one-click install via Unyly at no cost.

Does Appointment Scheduler need an API key?

No, Appointment Scheduler runs without API keys or environment variables.

Is Appointment Scheduler hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Appointment Scheduler in Claude Desktop, Claude Code or Cursor?

Open Appointment Scheduler on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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