# AI interaction

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, connection testing through MCP Inspector, and integration into the Claude desktop application for using mathematical tools.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, including OAuth login functionality, supporting local development and cloud deployment, and enabling integration with the MCP inspector and the Claude desktop application.

A message context protocol server integrating Apache Kafka, providing publishing and consuming functions for LLM and agent applications.

This project is a Python-based multi-MCP server management framework that interacts with the Google Gemini API through the SSE protocol. It includes two major function modules: calendar management and browser automation, and supports dynamically loading multiple services through a configuration file.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It provides a complete process guide for local development, MCP inspector connection, Claude desktop application integration, and cloud deployment.

The Tinderbox MCP Server is a service that enables AI assistants (such as Claude) to interact with the Tinderbox knowledge management application through the Model Context Protocol (MCP), supporting the operation of Tinderbox documents using natural language, including creating notes, updating attributes, and linking notes.

The GeoServer MCP Server is a server - side implementation of the Model Context Protocol (MCP) that connects large language models (LLMs) with the GeoServer REST API, enabling AI assistants to interact with geospatial data and services.

Android-MCP is a lightweight open-source project that serves as a bridge between AI agents and Android devices. It enables real-world task operations such as app navigation, UI interaction, and automated testing through the MCP server, without relying on traditional computer vision or pre-set scripts.

Linea MCP is a server that provides tools for AI applications to interact with the Linea blockchain. It supports functions such as wallet management, token operations, and smart contract interactions, and is compatible with multiple MCP clients.

An MCP server that provides browser automation capabilities for AI models, enabling models such as Claude and Gemini to perform web browsing, searching, and interaction operations through natural language instructions.

A model context protocol server that implements Jira integration, providing a standardized interface for AI models to interact with Jira, including REST API integration, connection pool, error handling and other functions.

An AI model interaction server built on FastAPI and the MCP protocol, providing standardized context interaction, modular design, and asynchronous processing capabilities, simplifying model deployment and management.

MCP Router is a Python toolkit for managing MCP servers and interacting with OpenRouter AI models, supporting multi-step workflow orchestration and intelligent task analysis.

A collection of MCP servers provided by Props Labs for standardized interaction between AI models and external tools and services. Currently includes the MCP server for the Fireflies.ai API.

The multi-cluster MCP server provides a gateway for generative AI systems to interact with multiple Kubernetes clusters, supporting resource operations, cluster management, and monitoring.

This project provides an MCP service for AI assistants to interact with the Mealie recipe database, supporting access through clients such as Claude Desktop.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, including the entire process of local development, OAuth login, connection with MCP Inspector and Claude Desktop client, and deployment to Cloudflare.

The Gemini MCP Server project implements the Model Context Protocol (MCP) service, enabling Claude Desktop to interact with Google's Gemini AI model. It provides full MCP protocol support, real - time response streaming, secure API key handling, and configurable model parameters, and is implemented in TypeScript.

The MySQL MCP Server is a model context protocol server designed for MySQL databases, enabling the interaction between AI models and MySQL databases through a structured interface.

This project is a Python server that connects the Claude desktop application and Unreal Engine 5.3, enabling the creation and editing of 3D scenes through text instructions. It supports functions such as basic object generation, blueprint invocation, and scene operation.

A Twitter integration service based on the Model Context Protocol standard, providing comprehensive Twitter function interfaces for AI assistants, including tweet acquisition, user interaction, timeline management, and media processing.

The Wonderland Editor MCP plugin interacts with AI assistants via the SSE transport protocol to enhance the development workflow.

The MySQL MCP Server is a MySQL database operation server based on the MCP protocol, providing a set of tools for AI models to interact with MySQL, supporting various database operations and data analysis functions.

Frida MCP is an MCP protocol implementation based on the Frida dynamic detection toolkit, providing AI systems with the ability to interact with mobile and desktop applications.

A Model Context Protocol (MCP) server implemented for Microsoft OneNote, providing a standardized interface for AI language models to interact with OneNote and supporting management functions for notebooks, sections, and pages.

click-mcp is a Python library that extends Click applications through Model Context Protocol (MCP) support, enabling AI agents to interact with CLI tools.

A project that implements Server-Sent Events (SSE) based on the Starlette framework, integrates the Model Context Protocol (MCP), and provides a standard interface for AI models to interact with external tools.

An implementation of the Model Context Protocol (MCP) in Java and the Spring framework, providing a standardized interface for interacting with AI models and supporting synchronous/asynchronous communication modes.

BrowserTools MCP is a powerful browser monitoring and interaction tool that enables AI applications to capture and analyze browser data through Chrome extensions and a local Node server, and is compatible with multiple MCP clients.

BrowserTools MCP is a powerful browser monitoring and interaction tool that enables AI to perform intelligent analysis and operations on browsers through a Chrome extension and a local server.