# mcp-fractera

> Use this tool when you need to deploy a private AI coding workspace with zero operational overhead, as it streamlines registration, VPS recommendation, and deployment monitoring. It solves problems related to setting up and managing AI coding environments, providing a seamless experience from initial setup to ongoing monitoring. The tool takes user input and VPS details, outputting a fully deployed and monitored private AI workspace.

Canonical page: https://skillsregistry.net/skills/fractera-ai-workspace  
JSON: https://api.skillsregistry.net/v1/skills/fractera-ai-workspace

## Description

Zero-Ops deploy of a private AI coding workspace to your own VPS, straight from your AI chat.  Registers the user, recommends a VPS, and runs and monitors the full deployment.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tpasrflpyh)
- **Repository:** <https://github.com/Fractera/Agent-Engineering-Infrastructure>

## 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": "fractera-ai-workspace"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fractera-ai-workspace` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fractera-ai-workspace/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