This MCP server demo in Python manages organizations and devices, performs distance calculations using the Haversine formula, and offers tools for data retrieval and interaction. It integrates with PostgreSQL to store and process organizational and device data, enabling efficient management and analysis of device locations relative to organizations.
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Created by:
Apr 16 2025
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What is MCP Server Demo?
This MCP server demo implemented in Python provides a comprehensive solution for managing organizational and device data, including calculating distances between devices and their associated organizations using geospatial methods. It connects to a PostgreSQL database for persistent data storage and offers a set of tools for fetching organization and device information, listing devices with their distances, and managing the data lifecycle. It serves as a practical example for building scalable MCP servers that support data management, geospatial analysis, and API-based interactions in a structured environment.
Who will use MCP Server Demo?
- Developers building MCP solutions
- Organizations managing devices and locations
- Data analysts working with device geospatial data
How to use the MCP Server Demo?
- Step1: Clone the repository from GitHub
- Step2: Set up a PostgreSQL database and run the provided SQL script
- Step3: Configure environment variables for database connection
- Step4: Install dependencies using Python's package manager
- Step5: Run the MCP server using the command `uv run main.py`
- Step6: Use the provided tools to interact with the server and manage data
MCP Server Demo's Core Features & Benefits
The Core Features
- Fetch organizations
- Fetch devices
- Calculate distances between devices and organizations
- List devices with distances
The Benefits
- Efficient management of organizational and device data
- Accurate geospatial distance calculations
- Easy data access via built-in tools
- Scalable setup with PostgreSQL
MCP Server Demo's Main Use Cases & Applications
- Managing a network of IoT devices across multiple locations
- Real-time tracking of devices relative to organizational hubs
- Geospatial analysis for location-based decision making
- Automated data management for device and organization info
FAQs of MCP Server Demo
Developer
- tanjibpa