# MOF Tools MCP Server

> Use this tool when you need to perform advanced simulations and analysis for Metal-Organic Framework research, solving problems such as structural optimization and energy calculations. It provides a standardized interface for searching databases, interacting with MOF data, and running chemical simulations through ASE. Ideal for scientific workflows, this tool offers a comprehensive platform for MOF research via a standard SSE interface.

Canonical page: https://skillsregistry.net/skills/liuyuxiang92-mofmaster-scientific-server  
JSON: https://api.skillsregistry.net/v1/skills/liuyuxiang92-mofmaster-scientific-server

## Description

A specialized MCP server for Metal-Organic Framework research that provides tools for database searching, structural optimization, and energy calculations via ASE. It enables scientific workflows by allowing users to interact with MOF data and perform chemical simulations through a standard SSE interface.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hmwud7h0ba)
- **Repository:** <https://github.com/liuyuxiang92/MOFMaster-Scientific-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": "liuyuxiang92-mofmaster-scientific-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/liuyuxiang92-mofmaster-scientific-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/liuyuxiang92-mofmaster-scientific-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
