Hardware MCP Server
Enables language models to perform hardware engineering tasks including CAD part design and heat transfer simulations. Provides tool calls for building mechanical components and running thermal analysis through natural language interactions.
README
Hardware for MCP
This repository shows examples of how you can use a language model to perform tool calls for:
- building a CAD part
- running heat transfer simulations
This repository uses the Model Context Protocol (MCP)
Install Dependencies
First, clone the current GitHub repository with the following command.
git clone https://github.com/TheFloatingString/mcp-for-hardware.git
cd mcp-for-hardware
Now, install all the Python dependencies using the uv package manager:
pip install uv
uv sync
Install ngrok or any similar tunelling services. ngrok can be installed from https://ngrok.com/downloads
Next, if you use ngrok, run:
ngrok http 8000
This will expose port 8000 (which we will be using soon for the MCP server) to a specific URL.
You should see a publicly visible URL after running the ngrok command. Keep note of this, you will need to add this in the .env file's environment variables.
Configure Environment Variables
Create a .env file and add the following environment variables
SERVER_BASE_URL=""
ANTHROPIC_API_KEY=""
Quickstart
In one terminal, run the MCP server with the following:
uv run server.py
In a second terminal, run the client with the following:
uv run client.py
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.