# AI Tools

The TeamCity MCP Server is a service that exposes the features of JetBrains TeamCity as structured AI resources, supports integration with LLM agents and IDE plugins, and provides tools for build triggering, cancellation, tagging, and searching.

The combination of Gemini CLI and the MCP server built with Google Apps Script extends the automation capabilities of Google Workspace through a low - code platform, providing support for 41 tools covering services such as Gmail, Drive, Calendar, etc., and enabling multi - step execution of complex tasks.

The Scrapezy MCP Server is a service that enables AI models to extract structured data from websites and supports data scraping through tools such as Claude.

A cryptographically secure random number generation server based on the Model Context Protocol (MCP), providing functions for generating various random data types, suitable for AI applications and systems requiring high - quality random numbers.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers and implement the OAuth login function, supporting connection and use through the MCP Inspector and the Claude desktop client.

This project is an example of an MCP server based on Spring Boot, implementing the Model Context Protocol standard. It allows developers to expose data through the MCP server or build AI applications that connect to these servers. In the example, a simple information service is created to provide developer information to the Claude desktop application through the MCP protocol.

This is a simple Steampipe MCP server that serves as a bridge between AI models and the Steampipe tool.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function, supporting connection and use through the MCP Inspector and Claude desktop client.

1MCP is a unified multi - MCP server aggregation solution designed to simplify the interaction management between AI assistants and external tools.

Implementation of Verodat's MCP Server, providing data management integration capabilities for AI systems

The MCP Client Configuration Server is a tool for managing different MCP client configurations, supporting cross - platform automatic detection and configuration synchronization.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, includes OAuth login functionality, and supports connection and use through the MCP checker and the Claude desktop client.

A secure command-line MCP server that provides a controllable terminal command execution environment for AI assistants, implementing multi-layer security protection through directory permissions and command classification.

This is an MCP SSE server project based on JWT authentication, providing secure access to multiple AI tools, supporting dynamic tool registration and session management, and suitable for production - environment expansion.

The OpenCV MCP Server is a Python - based computer vision service that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). It offers a full set of computer vision tools from basic image processing to advanced object detection for AI assistants and language models, including image processing, edge detection, face recognition, video analysis, and real - time object tracking.

hyper-mcp is a high-performance MCP server based on WebAssembly plugins, supporting plugin distribution through container registries and suitable for various AI application scenarios.

An enterprise-level MCP server development framework based on FastAPI that supports automatic conversion of traditional APIs into AI-callable tools, providing a standardized development process and dependency injection design.

An MCP server based on the Perplexity AI API, providing web search functionality for the Claude desktop client.

This is a YCloud WhatsApp API server based on the MCP protocol. It can automatically generate tools to enable AI models to directly interact with the WhatsApp API, support all YCloud API endpoints, and handle authentication and parameter verification.

A Python - based MCP server that allows AI agents to programmatically query the Microsoft 365 roadmap, helping organizations track upcoming feature updates for products such as Teams and SharePoint.

An MCP server that converts Postman API collections into type - safe AI tool code

This project provides an MCP server that interacts with the Cisco APIC controller, supporting local invocation through Claude and VS Code, and includes functions such as APIC credential configuration, tool registration, and Docker support.

An MCP server that provides real-time Web3 job data, supports filtering by remote status, country, and job tags, and returns a formatted job list.

This project demonstrates how to build a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection testing via the MCP inspector, integration with the Claude desktop client, and final deployment to the Cloudflare cloud service.

This project demonstrates how to build a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection testing through the MCP inspector, integration with the Claude desktop, and finally deployment to Cloudflare for remote invocation.

MCP Twitter is a server based on the model context protocol, providing functions for direct interaction with Twitter/X and supporting various Twitter API operations.

LetzAI MCP is a model context protocol for image generation. Integrated through the Claude desktop application, it supports generating and upscaling images based on prompts.

3D-MCP is a general model context protocol implementation for 3D software, enabling LLMs to interact across platforms such as Blender, Maya, and Unreal through a unified TypeScript interface.

A Python template project for quickly building a Model Context Protocol (MCP) server, which provides registration and exposure functions for tools and tips and supports multiple deployment methods.

A collection of tools for adding AI capabilities to Nuxt applications, including a Nuxt module and development tools.