# AI Tools

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.

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.

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

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.

A template project for building a custom Model Context Protocol (MCP) server, providing the basic structure and tool implementation, and supporting integration with Cursor and Claude Desktop.

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.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and cloud deployment and can be connected and used via the MCP Inspector or the Claude desktop application.

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 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.

This project demonstrates how to build a remote MCP server on Cloudflare Workers, including OAuth login functionality, and supports connection and use via the MCP Inspector and Claude desktop application.

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

Axone's MCP server is a lightweight implementation that exposes Axone's capabilities through the standardized Model Context Protocol (MCP), serving as a gateway for AI tools to access the data universe.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers, including the entire process of local development, MCP inspector connection, Claude desktop application integration, and cloud deployment.

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 powerful MCP server that provides web search and similar content search functions, supporting integration with Claude Desktop

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.

Klavis AI is an open - source project that provides a multi - functional computing platform (MCP) for use on Slack, Discord, and web pages. It allows non - technical users to easily configure AI workflows, and developers can expand and build on it.

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

A NestJS module for easily exposing AI tools, resources, and prompts via the Model Context Protocol (MCP), supporting multiple transport types and dependency injection.

The Ollama MCP Server is a bridge tool that connects the local large language models of Ollama and the Model Context Protocol (MCP). It provides complete API integration, model management, and execution functions, and supports OpenAI - compatible chat interfaces and visual multimodal models.

The Linkup MCP Server is a server based on the Model Context Protocol, providing real-time web search and web page content scraping functions through the Linkup API, enabling AI assistants to access the latest information on the Internet.

This project is a server based on the Model Context Protocol, integrating the Space Flight News API to provide the latest aerospace news, supporting keyword search and the function of getting the latest articles.

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 server based on the Model Context Protocol (MCP) and Server-Sent Events (SSE), integrating the Brave Search API to provide real-time streaming search functionality for AI models and clients.

An MCP server based on the Perplexity API that provides web search functionality for AI assistants, supporting time filtering and result citation.