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MCP Duty Pharma

by lsaavedr
README.md2.27 kB
# MCP Duty Pharma MCP Duty Pharma helps you locate pharmacies legally required to stay open during nights, weekends, and holidays. Whether it's an emergency or just a late-night need, this tool ensures you always know where to go. ## 📋 System Requirements - Python 3.10+ ## 📦 Dependencies Install all required dependencies: ```bash # Using uv uv sync ``` ### Required Packages - **fastmcp**: Framework for building Model Context Protocol servers - **geoPy**: Python library for accessing and geocoding/reverse geocoding locations. - **httpx**: HTTP client for Python, which provides a simple and intuitive API for making HTTP requests. All dependencies are specified in `pyproject.toml`. ## 📑 Table of Contents - [System Requirements](#-system-requirements) - [Dependencies](#-dependencies) - [MCP Tools](#%EF%B8%8F-mcp-tools) - [Installation](#-installation) - [Safety Features](#-safety-features) - [Development Documentation](#-development-documentation) ## 🛠️ MCP Tools This MCP server provides the following tools to Large Language Models (LLMs): ### get_nearby_duty_pharmacies - Get ten closest pharmacies on duty today, sorted by distance to the given address. ## 📦 Installation You can install this MCP server in either Claude Desktop or elsewhere. To use this server, add the following configuration to the settings file: - in json format ```json { "MCP Duty Pharma": { "command": "uv", "args": ["tool", "run", "mcp_duty_pharma"] } } ``` - in yaml format ```yaml mcpServers: - name: MCP Duty Pharma command: uv args: - tool - run - mcp_duty_pharma ``` 🔒 Safety Features - Rate Limiting: Each geocoding call is rate-limited (e.g., 1-second delay) to avoid excessive requests that violate usage limits. - Error Handling: Catches geopy exceptions (timeouts, service errors) and returns safe [] results instead of crashing. 📚 Development Documentation If you’d like to extend or modify this server: - Check duty-pharma.py for how each tool is implemented and how duty-pharma is integrated. - Look at geopy’s official docs for advanced usage like bounding boxes, language settings, or advanced data extraction. - Look at regional government APIs for more data sources.

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