# Materials Project

> Use this tool when you need to query and analyze materials data, such as crystal structures, electronic properties, and thermodynamic stability, to support research and development in materials science. It provides access to a vast database through a user-friendly interface, accepting natural language queries and returning relevant data and insights. Ideal for materials scientists and researchers, it simplifies the process of exploring and understanding complex materials properties without requiring direct API knowledge.

Canonical page: https://skillsregistry.net/skills/benedictdebrah-materials-project  
JSON: https://api.skillsregistry.net/v1/skills/benedictdebrah-materials-project

## Description

Materials Project MCP server created by Benedict Debrah and Peniel Fiawornu that provides direct access to the Materials Project database through the mp_api client. The implementation offers 23 specialized tools for querying crystal structures, electronic properties, phonon data, magnetic properties, thermodynamic stability, and more, making it valuable for materials scientists and researchers working with computational materials data. Built with comprehensive Docker support and designed for seamless integration with Claude Desktop and VS Code, it enables natural language queries of one of the world's largest materials databases without requiring direct API knowledge.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/benedictdebrah-materials-project)
- **Repository:** <https://github.com/benedictdebrah/materials-project-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "benedictdebrah-materials-project"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benedictdebrah-materials-project` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benedictdebrah-materials-project/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt