# Protocol Interaction

This project demonstrates how to integrate the MCP (Model Context Protocol) server with Pydantic.AI, includes example code for weather services, and supports interaction through different LLMs (such as GPT - 4 and Sonnet).

mcp-client-go is a Golang client library for interacting with Model Context Protocol (MCP) services. It supports multiple services such as Amap and Github and provides a unified API interface.

The Spring AI MCP client is a chat application based on Spring AI and Anthropic Claude/OpenAI models, which interacts with the server through the MCP protocol and supports AI-driven dialogue functions.

A simple Kotlin weather query client-server example based on the MCP protocol, demonstrating the tool invocation process.

A secure Microsoft SQL Server database interaction protocol server that provides structured database access functions

A Java implementation of a weather service based on the Model Context Protocol, including a fast proxy client, supporting interaction with local and remote MCP servers, and demonstrating the completion of weather query tasks through LLM - called toolchains.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, can be connected through the MCP Inspector or the Claude desktop client, and is finally deployed to the Cloudflare cloud service.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers, implement the OAuth login function, and support connecting and invoking tools through the MCP inspector and Claude desktop client.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. Support local development and debugging, connect and test through the MCP inspector, and allow the Claude desktop client to call the tools in the MCP service.

This project implements a GitHub code search tool through the Model Context Protocol, providing a standardized external service interaction interface for AI assistants, including functions such as code search and repository viewing.

VSCode MCP is a solution for enabling interaction between AI assistants and VSCode through the Model Context Protocol

This project is an experimental Model Context Protocol (MCP) server for interacting with the Algolia API. It allows users to perform operations such as searching, adding data, and updating index configurations through the MCP protocol. The project provides installation guides, debugging methods, and instructions for integrating with Ollama, but clearly states that it does not provide official support.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connects to the service through the MCP inspector or Claude desktop application, and can finally be deployed to the Cloudflare cloud.

This project demonstrates how to build a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection testing through the MCP inspector, integration with the Claude desktop, and finally deployment to Cloudflare for remote invocation.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, and the service can be connected via the MCP inspector or the Claude desktop application, and finally deployed to the Cloudflare cloud.

This project integrates Claude AI with Pure Data through the Model Context Protocol, supporting dynamic creation, modification, and control of Pure Data audio processing modules through natural language.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging. Connect to the server through the MCP Inspector or the Claude desktop application, and finally, it can be deployed to the Cloudflare cloud for remote client access.

This project demonstrates how to use the MCP protocol to interact with OpenAI, Azure OpenAI, and GitHub models in Azure container applications. It provides a simple terminal application demonstration to interact with the to - do item agent through the toolset provided by the MCP server.

The Osmosis Agent Toolkit is a collection of development tools for interacting with the Osmosis protocol, including core functions, AI SDK integration, and MCP server implementation.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, and can be connected via the MCP Inspector or Claude desktop client, and finally deployed to the Cloudflare cloud service.

The Burp Suite MCP Server extension enables the integration of Burp Suite with AI clients, supports interaction through the Model Context Protocol (MCP), and provides automatic configuration and proxy service functions.