# AI Assistance

An experimental MCP server developed for the Kafka monitoring tool AKHQ, which helps AI assistants connect and assist users in working with AKHQ

A web research service designed for Claude, integrating Google Search and content extraction functions

The Figma MCP Server is a tool that converts Figma design data into an AI-friendly format, supports integration with AI coding tools such as Cursor, and optimizes the process of converting design to code.

MCP is an open-source AI-driven penetration testing framework that integrates multiple security tools, analyzes their outputs in real-time, strictly follows the standard penetration testing process, and provides intelligent assistance to security testers.

A multi - language package version checking tool that provides the latest stable version query service

The AiDD MCP Server is a server that provides a comprehensive toolset for AI - driven development workflows, supporting functions such as file operations, code analysis, Git management, and system information retrieval.

A server tool that helps users access and query databases through Legion Query Runner and the MCP protocol

An MCP service that connects to the Ravelry knitting API, providing knitting pattern search functionality for AI assistants

The AWS MCP Servers are a set of dedicated servers based on the Model Context Protocol, offering various AWS-related functions, including document retrieval, knowledge base query, CDK best practices, cost analysis, image generation, etc., aiming to enhance the integration of AI applications with AWS services through a standardized protocol.

A YouTube video summarization tool based on the MCP protocol that can extract video titles, descriptions, and subtitles, and provide structured data for Claude to generate video summaries.

The PJE MCP Server is a server for integrating with the Brazilian Electronic Judicial System (PJE), supporting A1 and A3 digital certificates, providing functions such as case management, judicial data query, and multi-court support, and achieving native AI integration with Claude Desktop.

Gamemaster MCP is an AI-assisted Dungeons & Dragons (D&D) game management server built on FastMCP, providing complete campaign management, character control, NPC interaction, map building, and quest tracking functions, supporting multiplayer collaboration and single-player immersive gaming experiences.

An intelligent code suggestion service based on the MCP protocol. It analyzes user requirements through AI and recommends the most suitable components and utility methods from the private code library, improving code reuse and development efficiency.

Test Coverage MCP is an MCP server that provides test coverage data for AI programming agents. It supports parsing LCOV format files, allowing agents to view coverage changes in real - time when coding, avoid coverage decline, and track improvement progress.

An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.

The MCP server for Dyson Sphere Program, which uses AI to assist in analyzing factory bottlenecks, power grid status, and logistics efficiency, and serves as a bridge between game data and natural language interaction.

An experimental MCP server for the Nylas API, providing API integration resources and tools

The F2C MCP server is a model context protocol service that can convert Figma design data into HTML/CSS code and provide design context support for AI programming assistants.

A memory bank server based on the Model Context Protocol (MCP) for cross - session management of project documents and context, helping AI agents (such as Claude) maintain consistent project knowledge through structured JSON - formatted global and branch - specific memory banks.

The MCP Code Indexer is an intelligent code retrieval tool designed specifically for large AI language models. It improves the efficiency and accuracy of code processing through semantic understanding and vectorized indexing, supporting functions such as code analysis, quality assessment, and dependency management.

Unity-MCP is an open - source project that connects the Unity game engine with AI assistants. It implements AI - assisted development, automated testing, and runtime debugging functions through the Model Context Protocol.

An MCP service implementation based on the ONOS controller, providing network control and management capabilities

An AI-driven video encoding assistance tool that connects Claude AI to the encoding workflow through the MCP server, providing intelligent error parsing, real-time analysis, and automated solutions to reduce manual intervention.

zPlanner is a command - line project planning tool focused on software development management, providing task hierarchy, progress tracking, and HTML reporting functions. It is especially designed with a context memory system for AI - assisted development.

The Medical MCP Server is a dedicated server based on the Model Context Protocol (MCP) that provides AI assistants with access to medical data and medical information tools, including functions such as drug information query, medical literature retrieval, and health topic access.

The MCP Backup Server is an instant backup and recovery system designed specifically for AI agents and code editing tools, providing fast security points and context preservation functions.

The OLS MCP Server is a tool that provides ontology query services for large - language models. By connecting to the EBI Ontology Query Service API, it helps AI assistants accurately obtain ontology terms, concepts, and hierarchical structures in the biomedical field.

UltimateCoder MCP is a locally prioritized automation server designed for developers and engineers, providing terminal command automation, file editing, and AI tool enhancement features.

Aidderall is an MCP server implementation that provides hierarchical task management functions for AI assistants, helping them maintain focus and context in the process of solving complex problems. By creating independent tasks and subtasks, AI can freely switch focus, complete tasks in any order, and retain all tasks as work records.

A service implementing the Model Context Protocol (MCP), providing tools for retrieving and analyzing the entire codebase, and supporting AI agents such as Cursor's Composer Agent to automatically read and understand the entire codebase.