# globus-mcp

> Use this tool when you need to manage Globus data transfers and compute tasks for Large Language Models (LLMs). It enables efficient data movement and task execution, solving problems related to data-intensive workflows and distributed computing. The globus-mcp server accepts inputs such as transfer requests and task definitions, and outputs transfer status and task results, making it ideal for use cases involving big data, high-performance computing, and AI model training.

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

## Description

MCP server enabling LLMs to manage Globus data transfers and compute tasks.

## Trust

- **Trust score (0–1):** 1.00
- **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/y17korulvj)
- **Repository:** <https://github.com/globus/globus-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": "globus-globus-mcp"
    }
  }
}
```

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