# Materials-MCP

> Materials-MCP — 7-wwh-materials-mcp. Use this tool when you need to enhance the accuracy of Large Language Models (LLMs) in retrieving material datasets for specific applications. The Materials-MCP tool provides a server-based solution to fetch accurate material data, addressing issues of data inconsistency and inaccuracy. It is ideal for use cases requiring reliable material information, with inputs including application requirements and outputs featuring relevant material datasets.

Canonical page: https://skillsregistry.net/skills/7-wwh-materials-mcp  
JSON: https://api.skillsregistry.net/v1/skills/7-wwh-materials-mcp

## Description

A co-developed project with Dr Khameel (Uni of Nottingham) to build a server on materials to enhance the accuracy of LLM models in fetching accurate material dataset for suitable application.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/7-wwh/Materials-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": "7-wwh-materials-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/7-wwh-materials-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/7-wwh-materials-mcp/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