# AI integration

Titanic AI Analysis is an educational project that demonstrates how to create a server through the MCP protocol to expose the Titanic dataset to language models such as Claude for analysis. The project includes data resources and tools, supporting complex queries and statistical analysis.

A Laravel Artisan command execution server based on the MCP protocol that allows securely managing local Laravel projects through an AI assistant.

An MCP server implementation for Azure DevOps that provides a standardized protocol for AI assistants to access the Azure DevOps API

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

An MCP server that connects AI assistants with the Metabase analytics platform, providing functions such as data query and dashboard access, and supporting two authentication methods.

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.

AGE-MCP-Server is a middleware service that connects the Apache AGE graph database with the Claude AI client, supporting querying and operating graph data in PostgreSQL through natural language.

The JobSpy MCP server is a tool that provides cross - platform job search functionality for AI assistants through the Model Context Protocol (MCP), supporting job searches on multiple platforms and structured data output.

CodeRAG is a tool that transforms codebases into intelligent knowledge graphs. It builds a code structure diagram through Neo4J, supports multi - language analysis, provides code quality metrics and AI integration, and helps with code review, architecture analysis, and refactoring.

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.

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.

Locust-MCP-Server is a server implementation based on the Model Context Protocol (MCP), used to run Locust load tests and supports seamless integration with AI development environments.

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.

A server that implements the MCP protocol, allowing AI assistants to create and manage calendar events through the Google Calendar API, supporting OAuth2 authentication and event management functions.

MCP Plexus is a Python framework based on FastMCP 2.7 for building secure and scalable multi-tenant MCP servers. It supports OAuth 2.1 integration and API key management, providing an isolated environment and tool access control for modern AI applications.

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

The SDKMAN interactive command-line tool provides a convenient interface for browsing, filtering, and installing SDKs, supports all SDKMAN candidate versions, and can integrate with an AI assistant to manage the development environment through natural language.

A service that converts OpenAPI specifications into MCP tools, enabling Claude AI to call API operations

The Oxylabs MCP Server provides web data crawling services for AI assistants, supporting dynamic rendering, structured extraction, and anti - blocking functions.

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.

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.

A tool for getting and reading Trade Companion column articles on Substack, which needs to be used with Claude AI.

A server that provides the MCP protocol for Blogger, enabling AI models to directly interact with the Google Blogger API

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.

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.

This experiment guides users on how to deploy the MCP server and integrate it into Microsoft Copilot Studio. Connect AI models with data sources through a standardized protocol to achieve real - time data access and tool integration.

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.