# Crystallography

> Crystallography — pipeworx-io-mcp-crystallography. Use this tool when you need to retrieve and analyze crystal structure information from the Crystallography Open Database (COD). It solves problems related to materials science and chemistry by providing access to crystallographic data through natural language queries or direct tool calls. The tool accepts queries as input and returns relevant crystal structure information as output, making it useful in contexts where understanding crystal properties is crucial.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-crystallography  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-crystallography

## Description

Enables querying crystallographic data from the Crystallography Open Database (COD) via natural language or direct tool calls, allowing AI agents to retrieve and analyze crystal structure information.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q2fdyagvqy)
- **Repository:** <https://github.com/pipeworx-io/mcp-crystallography>

## 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": "pipeworx-io-mcp-crystallography"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-crystallography` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-crystallography/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