chenshuai2144_mcp-server
If you are the rightful owner of chenshuai2144_mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
MCP-Server is a project that implements a server and client based on the Model Context Protocol (MCP), enabling large language models (LLM) to invoke external tools through a structured protocol to accomplish complex tasks.
MCP-Server is designed to bridge the gap between large language models and external tools by providing a structured protocol for communication. The project consists of two main components: the MCP server and a TypeScript-based client. The server acts as a provider of tools, registering and executing various utilities such as weather forecasting and GitHub user information queries. The client connects to both the language model API and the MCP server, handling user queries and coordinating the invocation of tools. This setup allows for a seamless integration of external services into the language model's capabilities, enhancing its ability to perform complex tasks. The project also includes a web API for front-end applications, supporting streaming output and process visualization, which helps users understand the model's decision-making and tool invocation processes.
Features
- Tool Registration: The server registers tools like weather forecasting and GitHub user information queries.
- Tool Execution: The server executes tools based on client requests and returns results.
- Communication: Utilizes standard input/output (stdio) for communication between client and server.
- Web API: Provides an HTTP interface for front-end applications with streaming output and process visualization.
- White-box Process Visualization: Displays the model's intent recognition, tool selection, and final answer generation processes.
Tools
Weather Forecasting Tool
Queries weather information using external APIs.
GitHub User Information Tool
Fetches user information from GitHub.