# AI integration

This project implements an MCP server for connecting to the Shortcut.com work order system, supporting AI assistants to perform operations such as querying, creating, and updating work orders.

A server implementation based on the Model Context Protocol (MCP) for integrating with Recraft.ai services, enabling AI assistants to generate images using Recraft's API through the MCP framework.

The Zotero MCP Server is a model context protocol service integrated with Zotero, allowing AI applications to access and operate on the Zotero literature library, supporting functions such as search, citation, and addition of entries.

An implementation of the MCP server for the EnreachVoice API, used to connect the EnreachVoice API with AI systems

A server that provides access to Google Classroom data for AI assistants such as Claude via the MCP protocol

The Integrator MCP Server is a legacy model context protocol server that can convert Integrator automated workflows into tools that can be called by AI assistants, enabling two-way interaction.

OmniFocus MCP Enhanced is an AI-driven productivity tool that provides native custom view access, hierarchical task management, intelligent filtering, etc., and deeply integrates Claude AI to achieve intelligent workflows.

A PDF reading tool that supports the MCP protocol, providing the read_pdf function through the MCP server to read PDF documents, suitable for MCP - supported AI tools such as Claude Desktop.

Implement intelligent applications in sales scenarios through the MCP server, suitable for various AI chat environments

The Figma MCP Server is a Model Context Protocol service that connects to the Figma API, allowing AI tools and LLMs to access and process Figma design files. It supports functions such as design data extraction, design system analysis, UI content management, and development documentation generation.

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.

The Tavily MCP Server is an open-source tool based on the Model Context Protocol (MCP) that provides real-time web search and data extraction capabilities for AI systems such as Claude. It supports seamless integration with multiple MCP clients (such as Cline, Cursor, and Claude Desktop), enabling AI assistants to access Tavily's advanced search and content extraction functions.

The Clockify MCP service is a server integrated with AI tools for managing time records in Clockify. Users can record time entries by sending prompts to large - language models.

This is an MCP server that connects AI assistants with the Metabase analytics platform, providing functions such as data access, dashboard management, and query execution. It supports two authentication methods, facilitating direct interaction between AI and the data analytics platform.

An intelligent query generation and documentation assistance server based on Claude AI, providing intelligent services by analyzing API documentation.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers and implement OAuth login functionality, supporting connection and tool invocation through the MCP inspector and the Claude desktop application.

This project demonstrates how to integrate MCP support of Spring AI in a Spring Boot application, including geocoding and time zone query services, and provides geographic location information through LLM interaction.

Chatterbox MCP Server is a personal - use server based on the Model Context Protocol (MCP), used to connect applications and AI models, supporting WhatsApp integration and dynamic resource management.

The Maya MCP Server project implements the Model Context Protocol (MCP), allowing AI assistants to control Autodesk Maya through natural language. This project features a lightweight design, does not require installing plugins in Maya, communicates via Maya's default MEL script port, and supports dynamically adding new tool functions.

The Specifai MCP Server is a model context protocol server used for integration and automation with AI tools that support the MCP protocol, providing a tool for reading documents generated by the Specifai project.

An MCP server designed for the AivisSpeech text-to-speech engine, supporting Japanese speech synthesis, multi-character voice selection, and parameter configuration, enabling seamless integration with AI assistants.

NodeMCU MCP is a service based on the Model Context Protocol for managing and controlling NodeMCU/ESP8266 IoT devices, providing REST API, WebSocket interfaces, and AI integration capabilities.

The MCP protocol enables standardized interaction between LLMs and the openGauss database, and builds an AI Agent application framework

The ActiveCampaign MCP server is a Model Context Protocol server for integrating with the ActiveCampaign API, providing contact management and tracking analysis functions, and supporting friendly queries from AI tools.

A Jira connection tool based on the Go language, supporting AI assistants to interact with Jira through the MCP protocol to achieve functions such as issue management and workflow operations.

Lilith Shell is an enhanced MCP server that allows AI assistants to execute terminal commands in a controlled environment, with security validation and output capture functions.

The Uptime Agent MCP Server is a service that connects the Uptime Agent monitoring system to an AI assistant (such as Claude) via the Model Context Protocol (MCP), supporting functions such as real - time monitoring access, incident management, and monitoring creation.

This project provides a guide for integrating AI chat functionality into Android Studio, enabling developers to interact with code and projects using natural language, including functions such as code Q&A, modification, explanation, and debugging.

A generative AI support plugin for Unreal Engine that integrates multiple cutting - edge LLM/GenAI model APIs, providing AI integration layer support in game development, including chat and structured output functions for models such as OpenAI, Claude, and Deepseek, and supporting the Model Control Protocol (MCP) to achieve advanced functions such as scene object control and blueprint generation.

DeepClaude MCP is a server application that integrates the capabilities of DeepSeek and Claude AI, providing more powerful AI response services through the collaboration of two models.