Model Hardware Standard (MHS) is a directory-style site focused on open AI hardware and MCP servers, with the goal of connecting AI models, agents, and physical hardware.
Purpose MHS aims to provide AI agents with a shared way to discover, understand, and operate physical devices. By bringing together hardware standardization driver projects, open-source robotics, simulation environments, and related software, the site helps developers explore paths for combining AI with the physical world.
Main capabilities The site includes multiple types of projects, including:
- Robotics projects: such as a small bipedal robot that moves using reinforcement learning policies, a small bipedal duck robot (microduck), pollen-robotics' open-source library for end-to-end robot learning, Strands Robots, and more.
- Simulation environments: such as Strands Robots Sim, a simulation environment for robot agent evaluation and reinforcement learning.
- Hardware design tools: such as the KiCad to Blender 3D model workflow, OpenTendo (an open-source hardware replica of the 1985 front-loading NES motherboard), iEDA (open-source EDA infrastructure from netlist to GDS), LibrePCB (EDA suite), PipelineC, pp4fpgas, and more.
- MCP servers: such as excel-mcp-server (a Model Context Protocol server for Excel file operations), Fetch MCP Server, Model Context Protocol Servers, Langflow-DOC-QA-SERVER (a Langflow-based document question-answering MCP server), Pipedream, GitHub MCP Server, and more.
- Others: such as MHS LeRobot Hugging Face, arduino-mcp-server, and more.
The site also uses three brief views to explain what MHS standardizes and how it complements MCP: models understand goals, agents plan and invoke tools, and hardware senses and acts in the real world; MHS is committed to making this last connection consistent and easy to understand.
How to use Users can browse and discover the above projects through the site. To submit a project, you need to log in and provide a public repository, a brief description, and primary source evidence for review.The site also offers email subscription for receiving updates on new MHS, AI hardware, and MCP projects.
Use cases Suitable for developers, researchers, and enthusiasts interested in open AI hardware, robotics, MCP servers, and the integration of AI with physical devices.
Limitations The core specification of MHS is still in a limited research preview stage, and public evidence must be labeled with caution. The site content is directory- and description-oriented in nature; details such as the functionality, pricing, platform, and effectiveness of specific projects need to be referenced from each project's own materials, and this introduction does not provide such information.
