The MCP Translation Server is a high-performance system focusing on bidirectional translation between Manchu and Chinese. It integrates advanced morphological analysis and deep learning technology to provide a comprehensive translation solution for low-resource languages.

The Wrike MCP server is a lightweight implementation used to connect the Wrike project management platform with language learning models (LLMs), providing API interfaces for task querying, comment adding, task creation, etc.

This project provides a natural language interaction interface for MLflow through the Model Context Protocol (MCP), allowing users to query and manage machine learning experiments and models in English. It includes server - side and client - side components.

Ebook-MCP is an e-book processing server based on the Model Context Protocol (MCP), supporting EPUB and PDF formats, providing intelligent book management, interactive reading experience, and learning assistance functions to achieve natural language interaction with e-books.

This project provides a Model Context Protocol (MCP) service for MLflow through a natural language interface, simplifying the management and query of machine learning experiments and models.

Medical background developer learning multiple programming languages

MCP Server is an MCP tool project based on the Go language, providing multiple functions such as IP address processing, time service, and poster generation, mainly used for personal learning.

A learning path generation server based on FastAPI that can automatically aggregate online resources according to topics and organize them into structured learning routes, supporting multiple languages and intelligent resource screening.

This project is a GitHub repository for testing and exploring the implementation of the Model Context Protocol (MCP) server, containing sub - projects related to learning multiple programming languages, DevOps tools, game development, and AI.