# OPTIMADE MCP Server

> Use this tool when you need to query material databases using natural language, solving problems of data discovery and access in materials science research. It takes in natural language queries and filter parameters as inputs, and outputs structured data results as MCP resources. Ideal for use cases involving materials data exploration, analysis, and retrieval from OPTIMADE-compatible databases.

Canonical page: https://skillsregistry.net/skills/dianfengxiaobo-optimade-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/dianfengxiaobo-optimade-mcp-server

## Description

Enables natural language querying of OPTIMADE-compatible material databases like Materials Project and Materials Cloud via the Model Context Protocol. It provides tools for linting query filters, discovering database providers, and accessing full structured data results as MCP resources.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **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:** [Glama](https://glama.ai/mcp/servers/nznrkkifn3)
- **Repository:** <https://github.com/dianfengxiaobo/optimade-mcp-server>

## 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": "dianfengxiaobo-optimade-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dianfengxiaobo-optimade-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dianfengxiaobo-optimade-mcp-server/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