# mofstructure-mcp

> Use this tool when you need to analyze and deconstruct Metal-Organic Framework (MOF) structures, identifying key components such as SBUs and ligands, and characterizing their chemical properties. It solves problems in chemical informatics and structural characterization, accepting CIF files as input and producing detailed structural analysis as output. Ideal for use in materials science and chemistry applications where automated MOF analysis is required.

Canonical page: https://skillsregistry.net/skills/lichman0405-mofstructure-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lichman0405-mofstructure-mcp

## Description

An MCP server for deconstructing and analyzing Metal-Organic Framework (MOF) structures, including SBU and ligand identification, guest removal, and COF stacking analysis. It enables AI agents to perform automated chemical informatics and structural characterization on crystal structures via CIF files.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yd4f9nw5gb)
- **Repository:** <https://github.com/lichman0405/mofstructure-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": "lichman0405-mofstructure-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lichman0405-mofstructure-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lichman0405-mofstructure-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