# AI integration

An MCP server implementation based on the MySSL API that provides domain name and IP security check functions and supports integration with AI clients.

A Node.js server that acts as an MCP layer to connect applications, Claude AI, and the IssueBadge API for sending badge certificates.

The MCP server officially provided by LAPRAS is used to access and operate job - seeking, work experience and other information on the LAPRAS platform through AI tools. It supports rapid deployment through npm or Docker and provides multiple functions such as job search and work experience management.

This experiment guides users on how to deploy an MCP server and integrate it into Microsoft Copilot Studio. Through a standardized protocol, it connects AI models with data sources to achieve real - time data access and joke generation functions.

A server tool that enables AI assistants to directly control tasks in the Things.app via the MCP protocol, supporting task creation, update, viewing, and scheduling.

Gossiphs is a zero-configuration, high-performance general code file relationship analysis tool that supports multiple programming languages. It is based on tree-sitter and git analysis, provides support for Python SDK and MCP protocol, and is convenient for integration with AI.

The MCP server for Azure Data Explorer provides a standardized interface for AI assistants to execute KQL queries and explore data. It supports database resource discovery, query execution, multiple authentication methods, and Docker containerization.

The KubeBlocks Cloud MCP Server is a service based on the Model Context Protocol (MCP) that provides seamless integration with the KubeBlocks Cloud API, enabling AI assistants to manage cloud resources through standardized tools by calling interfaces.

Hoverfly MCP Server is a Model Context Protocol (MCP) server based on Spring Boot that integrates the Hoverfly simulation tool into the AI assistant ecosystem, supporting dynamic simulation of third - party APIs to solve the problem of external service dependencies in development and testing.

The NASA MCP Server is a server that adheres to the Model Context Protocol specification, providing a standardized interface for AI models to access over 20 public data sources of NASA, including astronomical images, Mars exploration data, and Earth observation images.

The 302AI Custom MCP Server is a customizable multi - functional tool platform that supports flexible configuration of different API tools, is compatible with multiple clients, and provides a one - stop AI service solution.

The ASR MCP server is an automatic speech recognition service based on the Whisper engine, providing the speech synthesis function through the MCP tool for easy application integration.

The Roam Research MCP Server is a tool that provides a standardized interface for AI assistants and supports in - depth interaction with the Roam Research knowledge graph.

An MCP server designed for the radare2 reverse - analysis tool, supporting seamless integration with AI assistants (such as Claude) and providing binary analysis and file inspection functions.

An MCP server for local file system read and write, which can be integrated with AI assistants such as Claude to implement file management functions

A server that provides Steam game data through the MCP protocol

TailorKit MCP is a middleware service connecting AI assistants with the TailorKit API, supporting the management of e-commerce product customization templates through natural language.

HWP-MCP is a protocol service that enables AI models to control HWP documents, supporting document creation, editing, and automation processing.

This project implements a multi-component platform (MCP) server integrated with Gemini AI, supporting complex tasks such as mathematical operations, string processing, and Keynote integration through natural language commands.

A flexible MCP server based on Probe for making documents or codebases searchable by AI assistants.

A WhatsApp Web MCP server implemented in TypeScript, providing a standard protocol for interacting with AI assistants and supporting functions such as message sending and receiving, contact search, and media file transfer.

A SharePoint integration project based on.NET, Graph API, and Semantic Kernel, which uses a modular architecture to enable an AI chatbot to securely access enterprise SharePoint data.

This project is a step-by-step guide to building an MCP server using the Python SDK and AlphaVantage API, integrating Claude AI technology.

The implementation of the Unipile MCP Server enables AI models to access messages across platforms through standardized interfaces

An MCP service for sending emails via the Resend API, integrating Cursor/Claude to achieve automatic AI email sending

The AI Note MCP Server is a service that connects Claude Desktop with the AI Note task management system. It supports creating, updating, and managing tasks through natural language conversations, and provides functions such as task classification, priority setting, and due date management.

NetBrain MCP is an open-source network operation and maintenance platform that connects large language models with network devices through the Model Context Protocol, enabling AI-driven network configuration, diagnosis, and management. It also provides a professional Web terminal interface and network topology visualization functionality.

RegenNexus UAP is a universal adapter protocol for connecting devices, robots, applications, and AI agents, providing low-latency, high-security communication, and supporting multiple hardware and MCP integrations.

MCP Server is a Model Context Protocol server module developed for Rhymix CMS, providing a standardized interface for AI clients to access Rhymix data and functions, and supporting custom tool development and automatic plugin scanning.

This is an MCP server that provides AI assistants with comprehensive access to Cisco Webex messaging functions. It includes 52 tools and supports enterprise-level functions such as message sending, space management, team collaboration, user management, and Webhook integration. It also supports Docker containerization and dual transport modes.