# AI Integration

An MCP server for interacting with the Open eClass platform, supporting UoA's SSO authentication system, enabling AI agents to log in, obtain course information, and perform basic operations.

The YepCode MCP Server is a server implementing the Model Context Protocol. It can transform YepCode processes into AI tools, supports remote and local deployment, and provides functions such as code execution, environment management, and process execution.

This project is a document processing server based on the Model Context Protocol (MCP) standard. By building a vector database and an MCP interface, it enables AI assistants to access external document resources and break through the knowledge limitations of large language models. The project includes two major components: a document processing pipeline and an MCP server. It supports multiple embedding models and file formats and can be applied to scenarios such as querying the latest technical documents and understanding private code libraries.

Deploy a remote MCP server on Cloudflare Workers, support OAuth login, and connect and use it through the MCP Inspector and Claude desktop application.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality, supporting connections through the MCP checker and the Claude desktop client.

A persistent memory server based on a knowledge graph, supporting cross - session memory of user information and learning of error solutions

A Node.js tool based on Playwright that can bypass search engine anti - scraping mechanisms to perform Google searches and extract results. It can be used as a command - line tool or an MCP server to provide real - time search capabilities for AI assistants.

A server for the Pollinations.ai service interface based on the MCP protocol, providing image and text generation functions

This project provides an MCP server that connects AI assistants with Atlassian Bitbucket, enabling secure access to repositories, pull requests, etc., and enhancing the interaction ability between AI and version control systems.

An MCP service based on the Xueqiu API, providing stock data query functions through an AI assistant

A query service that connects the dbt semantic layer with AI assistants

The Metoro MCP Server is an open-source project that connects Kubernetes cluster data to the Claude desktop application via the Model Context Protocol, enabling AI-driven cluster observation.

The Payman AI Documentation MCP Server provides developers with convenient documentation access and integration support.

MCP Terminal is a terminal control server designed for AI, providing a standardized interface for AI to execute terminal commands and obtain results.

The Linear MCP Server is a server that implements the Model Context Protocol, used to connect an AI assistant with the GraphQL API of the Linear project management system, supporting functions such as issue tracking and project management.

An Excel file reading and writing service based on the Spring AI MCP framework, supporting integration with large language models for dynamic interaction

The Verodat MCP service is a protocol server for integrating code and data into AI systems (such as Claude Desktop), providing functions such as account management, dataset operations, and AI queries.

A local file reading server based on the MCP protocol, providing AI models with secure access to the local file system

The Dart MCP Server is an implementation of the model context protocol (MCP) server based on Dart, providing functions for task management, document processing, and space organization, and supporting integration with AI assistants.

iMCP is a macOS application that connects users' digital lives through AI. It supports interaction with clients such as Claude Desktop via the Model Context Protocol (MCP), providing various functions including calendar, contacts, location, maps, messages, reminders, and weather.

The Feishu MCP Server provides Feishu document access capabilities for AI coding tools, supporting document creation, content operation, and editing, thereby improving development efficiency.

Lspace is an open - source API backend and server that implements the Model Context Protocol (MCP), helping developers transform insights from AI conversations into a searchable and persistent knowledge base and share them across tools.

This project showcases an MCP service architecture based on Node.js, including backend API services, an MCP server, and a client-side AI chatbot. The MCP server standardizes the API access method, and the client implements the custom data storage function by integrating MCP capabilities.

Terry-Form MCP is a bridge connecting AI assistants and Terraform infrastructure management. It executes Terraform commands in a secure container environment and integrates the Language Server Protocol (LSP) to provide intelligent development capabilities.

Activepieces is an open-source automated workflow platform designed to replace Zapier. It provides an extensible, type-safe TypeScript framework, supports the integration of more than 200 services, and features AI-first, enterprise-level security, and human intervention processes. The project emphasizes developer-friendliness and community contributions, and supports multi-language translation and custom templates.

The Plane MCP Server is a model context protocol server that provides seamless integration with the Plane API, supporting functions such as project management, work item operations, and automation processes. It is suitable for developers and AI tool integration.

WebSearch-MCP is a server implementation based on the Model Context Protocol (MCP), providing real-time web search capabilities for AI assistants.

The Kernel MCP Server is an open - source server based on the Model Context Protocol (MCP), providing AI assistants with secure access to Kernel platform tools and browser automation capabilities. It supports cloud application deployment, headless browser control, document search, etc., and uses OAuth 2.0 authentication to ensure security.

The Revit - MCP tool library provides comprehensive automated interaction functions for Autodesk Revit, enabling deep integration between AI assistants and Revit via the MCP protocol.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers, covering multiple fields such as browser automation, art and culture, cloud platforms, command - line tools, communication, customer data platforms, databases, developer tools, file systems, finance and fintech, games, knowledge and memory, location services, marketing, monitoring, search, security, travel and transportation, version control, and other tools and integrations.