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MCP Fyd
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MCP Fyd

This project contains multiple modular services based on the MCP protocol, providing functions such as date processing, Excel operations, Google Drive integration, file system management, and access to Taiwan meteorological data
Developer toolsResearch and data#Protocol communication#Modular services#Data processing#Meteorological monitoring.kotlin
2 points
5.1K
Open Site

Overview

Content Details

Alternatives

What is an MCP server?

The MCP server is a modular service suite based on the Modular Communication Protocol. Each server provides specific functions and can be deployed independently or used in combination. These services communicate through standard protocols, simplifying system integration.

How to use an MCP server?

Interact with the services through REST API or specific client libraries. Each service provides clear interface documentation. The services can be deployed locally or in the cloud and connected through configuration.

Applicable scenarios

Suitable for enterprise applications, data integration platforms, automated workflows, and other scenarios that require modular services, especially for projects that need to flexibly combine different functions.

Main features

Date and time service
Provides date and time processing functions with global time zone support, including format conversion, time zone conversion, and date validation
Excel processing service
Full capabilities for Excel file operations, supporting creation, editing, import/export, and worksheet management
Google Drive integration
Deep integration with Google Drive, providing file management, permission control, and version management functions
File system service
Operations on local and network file systems, including file management, metadata retrieval, and directory browsing
Taiwan meteorological data
Real-time access to meteorological monitoring data from various locations in Taiwan, including temperature, humidity, and weather conditions
Advantages
Modular design, allowing specific services to be deployed on demand
A unified communication protocol simplifies integration
Based on the Quarkus framework, with high performance and low resource consumption
Detailed documentation and examples
Supports independent deployment as an uber-jar
Limitations
Requires a Java runtime environment
Some advanced functions require additional configuration
The Google Drive service requires an API key
Meteorological data is limited to Taiwan

How to use

Download and deploy the service
Download the jar file of the required service from the code repository and run it
Configure the service
Modify the application.properties configuration file as needed
Call the API
Access the service API through an HTTP request

Usage examples

Cross-time zone meeting scheduling
Use the date service to convert meeting times between different time zones
Automated report generation
Use the Excel service to automatically generate sales reports and save them to Google Drive
Meteorological data monitoring
Regularly obtain meteorological monitoring data from Taiwan and store and analyze it

Frequently Asked Questions

How to get a list of all available time zones?
What file formats does the Excel service support?
What permissions are required for the Google Drive service?
How often is the meteorological data updated?

Related resources

Official documentation
Complete API reference and configuration guide
GitHub repository
Source code and issue tracking
Quick start video
A 10-minute quick start tutorial
Community forum
User discussions and question answers

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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