Materials Project API

Overview

Materials Project API is a Python client project for the Materials Project, distributed under the package name mp-api. The README describes this repository as the development environment for the new API and the home for its core client implementation. Its workflow role is client-side access to the Materials Project rather than a separate materials database or a predictive model. The package metadata identifies science and research as an intended audience and marks development status as beta.

For data-access workflows, the README directs users to the official Materials Project download documentation. The source excerpts do not describe query inputs, authentication requirements, response schemas, supported material properties, or output file formats. Those details therefore need to be established from the linked documentation before designing a retrieval pipeline. The declared dependencies include pymatgen, emmet-core, and requests, but dependency declarations alone do not establish specific scientific processing capabilities.

The package requires Python 3.11 or later and declares an optional mcp dependency group containing fastmcp. It also registers mpmcp as an entry point targeting mp_api.mcp.server:_run_mp_mcp_server. This is evidence of an MCP integration within the official client repository, not a description of a separate community server. The excerpts do not specify its exposed tools or setup procedure. The repository code carries the declared BSD-3-Clause-LBNL license; this should not be treated as a statement about database or service terms.

Key Features

• Provides the Materials Project API client package under the name `mp-api`, with the repository serving as its development environment.
• Links directly to official Materials Project documentation for API use and database downloading.
• Declares an optional `mcp` dependency group using `fastmcp` and registers the `mpmcp` server entry point.
• Declares Python 3.11 or later as the package requirement and lists scientific-data dependencies including `pymatgen` and `emmet-core`.

Use Cases

• Intended evaluation: assess the documented data-access workflow for retrieving Materials Project information into a Python materials-research project.
• Intended evaluation: examine the optional MCP integration for use in an AI-assisted workflow, first verifying its documented tools and access requirements.
• Intended evaluation: review the declared Python requirement and dependencies before integrating `mp-api` into an existing scientific software environment.

How to Use

1. Start with the repository README to establish that this resource is the Materials Project API client development project, rather than the database itself.
2. Follow the linked official download documentation. Identify its current access requirements, supported inputs, and returned data before planning a retrieval workflow.
3. Inspect the supplied package configuration against your environment. It declares Python 3.11 or later; use the official documentation for installation instructions rather than deriving commands from dependency names.
4. If MCP access is relevant, review the declared mcp extra and mpmcp entry point, then locate setup and tool descriptions before attempting integration. The source excerpts do not provide those instructions.
5. For an initial evaluation, choose a small, documented retrieval example and check its output against your downstream needs. Separately review the code license; database and service terms require their own assessment.