jcs-mcp

jcs-mcp

Exposes the Joaquim Chaves Saúde patient portal as MCP tools, letting Claude or other clients fetch appointments, prescriptions, invoices, and documents from webapp.jcs.pt.

Category
Visit Server

README

jcs-mcp

An MCP server that exposes the Joaquim Chaves Saúde (JCS) patient portal (webapp.jcs.pt) as tools for Claude and other MCP clients.

It lets you ask Claude things like:

  • "Show me my upcoming appointments"
  • "What prescriptions do I have active?"
  • "Download my latest exam result and summarise it"
  • "List my invoices from the past 6 months"

Features

11 MCP tools covering the full JCS portal:

Tool Description
jcs_login(password) Authenticate; session saved to ~/.jcs_session.json (auto-renewed)
get_patient_info() Name, email, patient ID
list_timeline(rows_to_skip?, archived?) Main health feed — exam results, appointment confirmations, documents
list_notifications(rows_to_skip?, archived?) Notifications and messages
get_message(id) Full message detail; body contains signed document URIs
list_appointments() Upcoming and recent appointments from the calendar
list_prescriptions(include_expired?) Active (and optionally expired) prescriptions
list_invoices() Invoices (Faturas/Recibos) from the patient profile
get_document_content(uri) Fetch HTML exam result content from a signed URI
download_document(uri, filename?) Download a PDF document, saved to ./downloads/jcs/documentos/
parse_prescription(file_path, model?) Parse a prescription PDF with a local Ollama model

Session management

Authentication uses OAuth2 Resource Owner Password Grant against the GatewayBox platform. After the first jcs_login() call the session is persisted to ~/.jcs_session.json and reloaded automatically on subsequent calls. If JCS_PASSWORD is set in .env, the server will auto-login when the session expires — no manual intervention needed.

Prescription parsing

parse_prescription extracts structured data from a downloaded prescription PDF using a local Ollama model:

{
  "patient": "...",
  "date": "YYYY-MM-DD",
  "doctor": "...",
  "specialty": "...",
  "medications": [
    {
      "name": "...", "dci": "...", "strength": "...",
      "form": "...", "quantity": "...", "posology": "...", "duration": "..."
    }
  ],
  "prescription_number": "...",
  "notes": "..."
}

For image-based PDFs it falls back to vision mode automatically (use a vision-capable model like llava).

Requirements

  • Python 3.10+
  • uv
  • A JCS account at webapp.jcs.pt
  • Your device UUID and device token key (see Auth setup below)
  • Ollama (optional, only needed for parse_prescription)

Installation

git clone https://github.com/nathanfolkman/jcs-mcp.git
cd jcs-mcp
uv sync

Configuration

Copy .env.example to .env and fill in your credentials:

cp .env.example .env
# Required
JCS_PHONE_NUMBER=+351912345678

# Optional — if set, the server will auto-login when the session expires
JCS_PASSWORD=your_password

# Required for first login (see Auth setup below)
JCS_DEVICE_UUID=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
JCS_DEVICE_DTK=your_device_token_key

# Optional — where to save downloaded documents (default: ./downloads)
OUTPUT_DIR=./downloads

Auth setup

The JCS API uses a GatewayBox device registration system. Your script must present a device UUID and device token key (dtk) that are already registered with the server — unrecognised devices are rejected.

The easiest way to obtain these is from your browser session on webapp.jcs.pt:

  1. Open Chrome DevTools → Application → Local Storage → https://webapp.jcs.pt
  2. Find the key that contains your appUuid — this is your JCS_DEVICE_UUID
  3. Open DevTools → Network, log in normally, and look for the POST /api/device/token response — the deviceToken field is your JCS_DEVICE_DTK

Set both values in .env. After the first successful jcs_login() call they are also persisted to ~/.jcs_session.json.

Usage

With Claude Code

Add to your MCP settings (e.g. ~/.claude.json):

{
  "mcpServers": {
    "jcs-health": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/jcs-mcp", "python", "mcp_server.py"]
    }
  }
}

MCP Inspector (development)

uv run mcp dev mcp_server.py

Standalone

uv run python mcp_server.py

First-time login

If JCS_PASSWORD is not set in .env, call the login tool explicitly once:

jcs_login(password="your_password")

The session is saved and reused automatically until it expires (~24 hours).

Project structure

jcs-mcp/
├── jcs_client.py     # Async HTTP client (GatewayBox OAuth2 + all API methods)
├── mcp_server.py     # FastMCP server — 11 tools
├── pyproject.toml    # Dependencies
└── .env              # Credentials (not committed)

API notes

The JCS webapp is a single-page application built on the GatewayBox platform by Seamlink. All API endpoints were reverse-engineered from network traffic. Key facts:

  • Base URL: https://webapp.jcs.pt
  • Auth: OAuth2 password grant via POST /Token with uid, AppUuid, and dtk custom headers
  • All data endpoints use POST with a JSON body containing device (the appUuid)
  • Document URIs are signed, time-limited tokens embedded in message body HTML as data-attach-html attributes
  • HTML exam results: GET /api/attachdata/getcontent?uri=...
  • PDF documents: GET /api/attachdata/getfile?uri=...

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured