# mcp-ctera-core

> Use this tool when you need to manage files and folders on CTERA Portal using natural language or automation workflows, solving problems such as automated data organization and retrieval. It enables AI-driven interaction with CTERA Portal APIs, accepting natural language inputs or workflow automation scripts and producing organized file and folder structures as output. Ideal for use cases requiring efficient and automated data management, such as data migration or backup workflows.

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

## Description

Enables AI-driven interaction with CTERA Portal APIs for file and folder management through natural language or automation workflows.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ep82su8yg1)
- **Repository:** <https://github.com/ctera/mcp-ctera-core>

## 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": "ctera-mcp-ctera-core"
    }
  }
}
```

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