# 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.

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.

A web crawling service based on the MCP protocol, providing web page content extraction functions for AI assistants, supporting bypassing anti - crawler mechanisms and returning formatted text.

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.

Implementation of the Claude Text Editor MCP Server

A powerful implementation of the Model Context Protocol (MCP) server that integrates multiple tools such as GitLab, Jira, Confluence, and YouTube, providing AI - driven search capabilities and development workflow tools.

An intelligent chatbot based on Streamlit that uses GPT-4o to automatically route user requests to different tools (such as chatting, image generation, database queries, voice synthesis, etc.), supporting rapid experimentation with AI tool routing functions.

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.

An MCP service that connects to the Giphy API, providing GIF search, random retrieval, and trending content functions for AI models.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, and can be connected via the MCP Inspector or Claude desktop client, and finally deployed to the Cloudflare cloud service.

The medRxiv MCP Server is a bridge connecting AI assistants with the medRxiv preprint library, enabling the search, access, and analysis of health science papers through the MCP protocol.

The LangChain MCP client is a project that demonstrates how to use MCP server tools through the LangChain ReAct agent. It supports flexible selection of LLM models and enables dynamic interaction via the CLI.

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 the Claude desktop client.

The Filesystem MCP Server is a Node.js-based filesystem tool server that follows the Model Context Protocol (MCP), providing AI agents with secure and efficient file access capabilities. It ensures operation security by limiting the project root directory, supports batch operations to reduce communication overhead, and offers rich file management functions such as reading, writing, editing, searching, and permission management.

An AI demonstration project showcasing the functions of the GitHub MCP server

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.

A modular server project based on the MCP protocol that allows language models to call external tools (such as weather queries, dictionaries, mathematical calculations, etc.) in real-time to enable AI to interact with the real world.

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.

MCP-hfspace is a server tool that simplifies the connection to Hugging Face Spaces. It supports multiple AI functions such as image generation, speech processing, and vision models, and seamlessly integrates with Claude Desktop.

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

The MCP Filesystem Server is a secure file access service based on the Model Context Protocol, strictly restricting AI models to perform filesystem operations only within preset directories.

A Model Context Protocol server template for building AI assistant tools, providing basic structure and development tool configuration

A production-level task management system based on the MCP protocol and Kafka, supporting task management, real-time notifications, and event stream processing, providing an interaction interface 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.

Aiven's MCP server project provides access to services such as PostgreSQL and Kafka in the Aiven ecosystem, enabling LLMs to build full - stack solutions. It includes tools such as project lists and service details, and supports connection configuration through environment variables.

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

A Storybook MCP Server for testing purposes, an integration tool supporting the transition from Figma designs to UI implementation.

An MCP service that provides Gemini 2.0 Flash image generation for Roo Code

An MCP client for interacting with the Notion API, supporting asynchronous operations, concurrency control, and environment configuration, which can be integrated into AI tools to expand functionality.