Alchemite MCP

Lets a local AI assistant design experiments and predict properties of materials and chemicals through the Alchemite platform.

What you can do

Alchemite MCP connects a local agent to Intellegens' Alchemite machine-learning platform for materials and chemistry data. Based on the registry description, it supports designing experiments and making predictions of materials and chemicals properties. The manifest lists no tools, so the exact tool set is not documented here.

When to use it

Consider it when you work with materials science or chemistry datasets and want an assistant to help plan experiments or estimate compound and material properties. It is aimed at desktop use with a local agent rather than a hosted web client.

Requirements

Runs as a local process over stdio, installed from the PyPI package alchemite-mcp and launched with uvx, so a Python environment with uv/uvx is needed. The manifest declares no authentication, environment variables, or headers, but access to the Alchemite platform may still require separate credentials not shown here.