# MS-MCP

> MS-MCP — drye1109-ms-mcp. Use this tool when you need to execute complex Materials Studio modeling and computation tasks, and monitor their progress locally. It solves problems related to materials science simulations and workflow management by providing a runtime environment and dashboard for MCP clients. Ideal for researchers and scientists requiring a streamlined interface for task execution and monitoring.

Canonical page: https://skillsregistry.net/skills/drye1109-ms-mcp  
JSON: https://api.skillsregistry.net/v1/skills/drye1109-ms-mcp

## Description

Enables MCP clients to execute Materials Studio modeling and computation tasks via MaterialsScript runtime, with a local Dashboard for monitoring.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dp4e3zyrih)
- **Repository:** <https://github.com/DrYe1109/MS-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": "drye1109-ms-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/drye1109-ms-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/drye1109-ms-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