# AI Tools

The MCP-Express-Adapter is a lightweight middleware for creating MCP (Model Context Protocol) servers on Express.js servers. It supports SSE communication, tool implementation, header-based authorization verification, and allows hosting multiple MCP client endpoints on the same Express server.

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

An MCP server that connects to the Pounding The Rock RSS feed, providing AI assistant access to the latest game results and blog articles of the Spurs

awesome - mcp is a project that collects and shares MCP (Model Context Protocol) servers, covering various MCP server implementations contributed by the official and the community, including multiple fields such as AI, databases, browser automation, code management, image generation, search, and storage.

Implementation of the Claude Text Editor MCP Server

The Hypernym MCP Server provides semantic text analysis and compression tools through the standard MCP interface, helping LLMs access advanced semantic classification and compression functions.

A remote MCP server project based on Cloudflare Workers, supporting OAuth login and integrable with MCP Checker and Claude desktop applications.

Perplexity Deep Research MCP is a Model Context Protocol server that provides web search functionality for the Perplexity AI API, supporting AI assistants to perform web searches using the sonar - deep - research model.

Top Rank Agent is a collection of MCP (Model Context Protocol) resources specially designed for Chinese users, providing basic introductions, usage guides, client and server resources, and community resources to help users quickly get started with this 'universal plug' in the AI field.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. Support local development and debugging, connect and test through the MCP inspector, and allow the Claude desktop client to call the tools in the MCP service.

MCP.science is an open - source project that provides a variety of MCP servers designed specifically for scientific research applications, enabling AI models to interact with scientific data, tools, and resources through a standardized protocol.

An example Python server project based on the Model Context Protocol, providing BMI calculation and weather query tool functions for LLMs such as Claude AI.

A modular computing platform server that provides SEC EDGAR data access and interaction for AI agents.

This is an AI development tool project based on Docker containers. It uses Markdown files to write complex workflows, combines Dockerized tools with the LLM model selected by the user, and implements a workflow of multi - model agents and project - priority design.

An MCP server for sending emails via the Resend API, supporting direct email sending through Cursor and Claude Desktop

This is a development template for the Model Context Protocol (MCP) based on TypeScript, providing a complete foundation for building MCP clients and servers, including production-grade tools, sample code, and clear documentation, supporting rapid development and expansion.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging. Connect to the server through the MCP Inspector or the Claude desktop application, and finally, it can be deployed to the Cloudflare cloud for remote client access.

An MCP server that provides screen - capturing functionality, supporting AI tools to capture and process screen content.

A Python client for interacting with Model Context Protocol (MCP) endpoints via Server-Sent Events (SSE), supporting tool discovery, invocation, and integration with multiple LLMs.

A search service implementation based on the MCP protocol, supporting multiple search engines and providing content acquisition capabilities for AI tools.

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

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 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 checker and Claude desktop client.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, connection testing via the MCP Inspector, and allows the Claude desktop client to call the MCP service.

CodeBox-AI is a secure Python code execution service that provides self-hosted code interpreter functionality, supports conversational code execution, dynamic package installation, and visual output, and integrates the MCP protocol for interaction with LLM applications.

This project builds a lightweight MCP server that enables interaction between local AI tools and the Claude assistant through Python. It supports processing data files such as CSV and Parquet, facilitating natural language query and analysis.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers and implement the OAuth login function. It provides a complete process for local development, MCP inspector connection, Claude desktop application integration, and deployment to Cloudflare.

MCPSharp is a .NET library for building servers and clients compliant with the MCP protocol. It supports quickly converting .NET methods into tool functions callable by AI models and provides integration with Microsoft.Extensions.AI and Semantic Kernel.

The promptz.dev MCP server provides the function of directly accessing prompts on the promptz.dev platform from an AI assistant, reducing context switching in development.