An OpenAPI specification exploration server designed for Claude/Cursor, which helps users search for and understand API documentation through a three - step process.

The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.

An interactive web tutorial for learning how to build an MCP (Model Context Protocol) server, providing step-by-step guidance and real-time code examples.

A module that adds discrete event simulation (DES) functionality to the Text2Sim MCP Server, implemented based on the SimPy framework, including core components such as entity processing, process steps, resource management, and indicator collection.

A Go language debugger integrated with the MCP protocol, providing functions such as program launch debugging, breakpoint setting, code stepping, and variable viewing. It supports the Delve debugger API and test function debugging.

This project demonstrates how to use the Sequential Thinking MCP Server to solve linear and non-linear programming problems. It breaks down complex optimization problems through structured steps and supports verification and revision.

This project is a tutorial for quickly building an MCP server, supporting multiple data sources such as Yahoo Finance. It can be set up within 10 minutes, including development environment configuration, dependency installation, and running steps.

An example project for MCP server configuration, including available configuration files and additional installation step instructions.

A server based on the Model Context Protocol that provides tools for interacting with the protocols.io scientific experiment protocol platform, including functions such as protocol search, creation, management, and step operations.

A terminal-based task tracking application that uses a three-pane layout to manage tasks and project plans, supports task creation, editing, deletion, and project step management, and provides API and command-line interfaces.

This project provides a comprehensive guide for implementing a Model Context Protocol (MCP) server for Cursor AI, including basic concepts, implementation steps, code examples, and integration requirements, aiming to enhance the AI's capabilities through custom tools.

The VibeCheck Web testing tool is an AI-driven web testing agent integrated into AI programming assistants (such as GitHub Copilot, Cursor, etc.) through the MCP protocol to achieve automated test recording, execution, and discovery. It uses Playwright to control the browser, supports generating test scripts through natural language description, executes regression tests, and automatically discovers potential test steps, improving development efficiency and test accuracy.

Overview: The MCP server acts as middleware, enabling AI agents to automate tasks by connecting to local data and remote services. It supports functions such as query execution and prompting to efficiently handle context. This represents a step towards fully automated AI systems capable of performing complex operations.

Configure the connection of the Claude desktop application, including file path guidance and build steps

PentestThinkingMCP is an automated penetration testing framework based on large language models and the MCP protocol. It can plan attack paths through Beam Search and MCTS algorithms, providing step reasoning, tool recommendation, and key path analysis for CTF, HTB, and real - world penetration testing.

Deploy the server and client of the MCP service on a Linux system, including environment configuration, dependency installation, and running steps

This is a fashion recommendation system based on CLIP. It detects the clothing pictures uploaded by users through YOLO and recommends similar products after encoding with CLIP. The project has completed the construction of the FastAPI server, database connection, and basic front - end UI. The next step is to optimize the label accuracy of CLIP and system integration.

Code Reasoning is an MCP server tool specifically designed to enhance Claude's ability to solve complex programming problems. It decomposes programming tasks through a structured, step - by - step thinking method, supporting multi - path exploration and thinking correction.

Thoughtbox is an AI thinking assistant tool that helps users break down complex problems and optimize solutions through functions such as step - by - step thinking, revision, and branching reasoning

Sequential Thinking MCP is an MCP server that supports AI agents in advanced metacognition and dynamic reflective problem-solving, guiding the step-by-step execution of complex tasks through virtual thought recording and planning.

A lightweight MCP tool based on ChatGPT that screens potential customers through the BANT mechanism (Budget, Authority, Need, Timeline) and guides users to input information step by step.

This project is a Mathematica Model Context Protocol (MCP) server that performs mathematical calculations and verifies derivation steps via wolframscript, providing mathematical calculation services for MCP clients (such as Cursor).

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.

A powerful MCP server implementing the sequential thinking protocol, providing a structured problem - solving method that decomposes complex problems into manageable steps and supports iterative optimization and multiple reasoning paths.

This project implements an MCP server based on the SSE transport layer and Durable Objects, supports integration with the ModelContextProtocol TypeScript SDK, and provides end-to-end operation steps.

This project implements an MCP server based on the Gemini API, providing access to various technical documents. With a large context window of 2M tokens, it directly processes complete documents without the need for chunking or retrieval steps of traditional RAG systems. It supports functions such as document query, code specification check, and problem - solving hints, and is suitable for the Roo/Cline environment.

Sequential Thinking MCP is an MCP server that provides a structured thinking process. It solves problems step by step, manages hypotheses, and integrates with the Recall blockchain to store thinking logs, supporting dynamic adjustment and reflective thinking.

An MCP server based on Python implementation for sequential thinking, which solves complex problems through a step-by-step thinking process, supporting thought revision, branching reasoning, and dynamic adjustment of thinking steps.

An MCP server that implements a structured thinking process, solves complex problems through step - by - step thinking, and supports dynamic adjustment and path branching.

DemoWay MCP service implementation, providing standardized Model Context Protocol (MCP) interface services, including demonstration step search and HTML download functions.

DeepSeek MCP Server enhances Claude's inference capabilities by integrating the advanced inference engine of DeepSeek R1, enabling it to handle complex multi - step inference tasks.

This is a quick start project for the MCP protocol based on TypeScript, which includes a basic MCP server implementation using stdio transmission and can obtain popular stories on Hacker News. The project does not require build steps, runs directly in the Node v23 environment, and supports development and debugging through MCP Inspector.

This project provides guides and materials for quickly building MCP servers using Cursor's AI capabilities, including detailed construction steps and example API documentation to help users easily create MCP servers.

This project enhances Claude's ability to handle complex reasoning tasks by integrating the inference engine of DeepSeek R1 and provides an efficient and accurate multi - step reasoning solution.

This project is used to create and manage MCP servers for ArcGIS services, providing step-by-step guides for initialization, virtual environment configuration, and dependency installation.

A multi - dimensional problem - solving tool based on the wisdom framework of the Lotus Sutra, combining analytical thinking with intuitive wisdom, and providing step - by - step solutions through a structured thinking process

A step-by-step tutorial on demonstrating the functions of MCP (Message Control Protocol), showing how to use MCP to add powerful tool extensions to AI agents.

This project contains AI - assisted workflow templates for Angular component refactoring and design system migration, providing a structured and step - by - step guidance for complex refactoring operations.

This project demonstrates how to integrate the Airbnb MCP server with LangChain and Groq through a browser interface, providing detailed setup steps from scratch and a quick start guide using an existing repository.

An MCP server developed in Rust, aiming to help AI assistants break down complex problems through structured and revisable sequential thinking steps.