MedRehab Clinic Locator MCP Server

Overview

The MedRehab Group MCP Server is a specialized Model Context Protocol (MCP) endpoint that exposes real‑world clinic data from the MedRehab Group to AI assistants. By connecting directly to the Juvonno API, it delivers up‑to‑date information on twelve clinic locations, allowing conversational agents to provide accurate recommendations and directions based on user input. This solves the common problem of AI assistants relying on static or inaccurate datasets when offering location‑based services.

Why It Matters for Developers

When building AI applications that need to reference physical addresses—such as scheduling appointments, giving directions, or validating service availability—developers often struggle with data freshness and geographic accuracy. The MedRehab Group MCP Server eliminates this pain point by providing a single, reliable API surface that returns verified clinic coordinates, contact details, and operating hours. Developers can integrate this endpoint into their workflow without maintaining their own database or scraping websites, ensuring that users always receive the latest information.

Key Features & Capabilities

• Authentic Data Source: Pulls directly from the MedRehab Group’s official Juvonno API, guaranteeing that location details are current and authoritative.
• Postal Code Matching: Supports free‑form postal code input, even handling spaced formats like “L 1 V 1 B 5”. This flexibility reduces user friction and improves matching accuracy.
• Two Core Functions
  • : Returns the nearest clinic to a supplied postal code, making it ideal for on‑the‑fly navigation or appointment scheduling.
  • : Provides a complete list of all clinics, useful for bulk queries or generating comprehensive maps.
• Heroku‑Friendly Deployment: Runs on standard HTTP, making it trivial to host in cloud environments that require port 80/443.
• Standard MCP Endpoint: Accessible via , enabling seamless integration with any Claude or other AI assistant that supports MCP.

Real‑World Use Cases

• Appointment Scheduling Bots: A conversational agent can ask for a user’s postal code, call , and then schedule an appointment at the nearest clinic.
• Travel Assistance: Travel‑planning assistants can recommend the closest MedRehab Group clinic when a user is booking a trip to Canada.
• Healthcare Outreach: Public health campaigns can query to display clinic locations on a website or mobile app.
• Voice‑Activated Navigation: Voice assistants can interpret spoken postal codes, match them to a clinic, and provide step‑by‑step directions.

Integration with AI Workflows

In practice, an MCP client (e.g., Claude) sends a JSON payload to specifying the desired function and parameters. The server processes the request, performs a lightweight lookup against the Juvonno API, and returns a concise JSON response. The AI assistant can then embed this data directly into its reply, offering users real‑time, location‑specific information without any additional backend logic. Because the MCP server adheres to the standard protocol, developers can swap it out for other location services with minimal changes to their conversational logic.

Standout Advantages

• Data Integrity: By sourcing from the official MedRehab Group API, there is no risk of stale or duplicated records.
• Ease of Use: Two simple functions cover the majority of location‑based scenarios, reducing cognitive load for developers.
• Scalability: Hosted on Heroku with a lightweight HTTP stack, the server can handle concurrent requests from multiple AI assistants without complex infrastructure.

In summary, the MedRehab Group MCP Server delivers a plug‑and‑play solution for AI developers needing reliable, up‑to‑date clinic information. Its straightforward API, robust data source, and seamless MCP integration make it an indispensable tool for any application that requires accurate location services.