Skip to main content
Glama
deathracr

AlayaCare MCP Server

by deathracr

AlayaCare MCP Server

An MCP (Model Context Protocol) server that bridges the AlayaCare home care platform with AI agents — including N8N AI Agent workflows powered by Claude or GPT.

Architecture

N8N Workflow
  └── AI Agent Node (LLM: Claude / GPT)
        └── MCP Client Node  ← built into N8N
              └── AlayaCare MCP Server  ← this project
                    └── AlayaCare REST API (basic auth)

Related MCP server: MaterCare Homes MCP Server

Tools exposed to the AI agent

Tool

What it answers

list_psws

Who are all the active PSWs and where do they live?

get_psw

Details on a specific PSW

list_clients

Who are all the active clients and where are their service addresses?

get_client

Details on a specific client

get_visits

What visits are scheduled in a date range?

get_psw_schedule

What is a specific PSW's full schedule?

get_psw_utilization

Which PSWs are over/under-utilized?

find_nearest_clients

Which clients live closest to a given PSW?

find_nearest_psw_for_client

Which PSWs live closest to a given client?

analyze_schedule_travel

What are the travel distances between a PSW's visits on a given day?

Prerequisites

  • Node.js 18+

  • An AlayaCare account with API access enabled

  • Basic auth credentials (username + password) for the AlayaCare API

  • Addresses in AlayaCare must have latitude/longitude populated for geo tools to work (use a geocoding step or AlayaCare's built-in geocoding if available)

Setup

# 1. Clone and install
git clone https://github.com/deathracr/alayacare-mcp.git
cd alayacare-mcp
npm install

# 2. Configure environment
cp .env.example .env
# Edit .env with your AlayaCare credentials

# 3. Build
npm run build

# 4. Run
npm start

Configuration (.env)

# Your AlayaCare instance URL
ALAYACARE_BASE_URL=https://yourcompany.alayacare.com

# Basic auth credentials
ALAYACARE_USERNAME=your_api_username
ALAYACARE_PASSWORD=your_api_password

# Transport mode: "stdio" for N8N stdio node, "sse" for HTTP
MCP_TRANSPORT=stdio

# Port — only used when MCP_TRANSPORT=sse
MCP_PORT=3000

Connecting to N8N

  1. Run the server with MCP_TRANSPORT=sse on a host reachable by N8N

  2. In N8N, add an MCP Client node

  3. Set the SSE URL to http://your-server:3000/sse

Option B: stdio transport (N8N self-hosted, same machine)

  1. Run with MCP_TRANSPORT=stdio (default)

  2. In N8N MCP node, choose stdio and point to node /path/to/dist/index.js

Example questions your AI agent can answer

  • "Which PSWs are under-utilized this week?"

  • "Find the 5 clients closest to PSW #42."

  • "Show me all missed visits in the last 7 days."

  • "How many hours is Sarah Johnson scheduled for next week?"

  • "Which PSW lives closest to client #107?"

  • "Analyze the travel efficiency of PSW #15's schedule for tomorrow."

Important notes

Geocoding: The distance-based tools (find_nearest_clients, find_nearest_psw_for_client, analyze_schedule_travel) require that addresses in AlayaCare have latitude and longitude fields populated. If your AlayaCare instance stores only street addresses, you will need to run a geocoding step to enrich the data.

API endpoint paths: AlayaCare API paths are configured in src/alayacare/client.ts. If your instance uses different URL patterns, update the paths in getEmployees, getPatients, and getVisits.

Rate limiting: The client paginates automatically (100 records per page). For large datasets, consider adding caching.

A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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/deathracr/AlayaCare-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server