RhinoMCP is a tool that connects Rhino 3D modeling software with AI agents. It enables two - way interaction through the Model Context Protocol and supports 3D object operations, document inspection, and script execution.

adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

CLEO is a portable brain and memory system designed for AI software development, providing project memory, verifiable sources, and agent - secure orchestration across repositories, model providers, and coding tools.

Files-DB-MCP is a local vector database project designed for software files, providing a fast MCP interface to support LLM programming agents.

The Product Requirement Prompt (PRP) is a structured prompt that combines the goal and rationale parts of a traditional Product Requirement Document (PRD) and adds AI key layers (context, implementation details and strategies, verification gates), providing everything needed for an AI coding agent to build a working software vertical slice.

This is an MCP server for Autodesk Revit, which enables the interaction between AI agents and Revit software through natural language control. It provides more than 100 API tools, supporting functions such as document management, model creation, and view operations.

A tool for AI agents to check the security of software packages before installation, providing allow/deny decisions, risk scores, and audit logs

BoostSecurity MCP is a security tool for protecting the AI agent development workflow. It prevents supply chain attacks by verifying the security of third - party software packages and supports multiple programming languages and package ecosystems.

This project implements a full-stack AI agent system inspired by the model context protocol, including a React front-end and a FastAPI back-end. The back-end serves as an AI coordinator, using Google Gemini to parse natural language instructions, safely call the file system, browser, or GitHub tools to perform tasks, and return the structured results to the front-end. The system focuses on software development scenarios, providing secure sandbox file operations, real-time web browsing, and repository inspection functions, and visualizing the tool call process.

Intellistant is a high-performance multi-agent AI framework built on C++23, supporting MCP protocol tool calls and agent collaboration, designed for software development automation.

Enterprise-level multi-agent orchestration MCP server for coordinating professional agents in architecture, quality, cloud, and prompt to achieve autonomous software development, testing, and deployment, with self-healing, authentication, and analysis capabilities.

Omni_Engineer is an integrated software development efficiency system that achieves multi - functional collaboration through the FastAPI microservice architecture and the illegal - Agents platform, covering core functions such as code development, database management, version control, and team collaboration.

An AI software architect server based on the MCP protocol that can analyze codebases to generate product requirement documents (PRDs) and provide reasoning assistance for complex coding tasks. It uses a multi-model architecture and intelligent agent design.

The MITRE ATT&CK MCP Server is an AI - native threat intelligence tool that provides comprehensive access to the MITRE ATT&CK framework through the Model Context Protocol. It has the ability to query over 200 techniques, over 140 threat groups, and over 700 software entries, supports the generation of ATT&CK Navigator visualization layers, and is designed for security teams and AI agents.