# Plesk Dev Docs

> Use this tool when you need to quickly find relevant Plesk documentation across multiple sources, including Admin Guides, APIs, and SDKs. It solves the problem of information overload by consolidating five separate documentation sources into a unified search interface with semantic search and reranking. This tool is ideal for developers and administrators seeking fast and accurate documentation retrieval, with sub-second response times and combined vector and full-text search capabilities.

Canonical page: https://skillsregistry.net/skills/barateza-plesk-dev-docs  
JSON: https://api.skillsregistry.net/v1/skills/barateza-plesk-dev-docs

## Description

Indexes and retrieves Plesk documentation using vector embeddings and semantic search with reranking. Consolidates five separate documentation sources into a unified search interface, supporting the Admin Guide, REST API, CLI, PHP SDK, and JavaScript SDK. Uses AST-aware chunking with combined vector and full-text search for sub-second response times.

## Trust

- **Trust score (0–1):** 0.16
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/barateza-plesk-dev-docs)
- **Repository:** <https://github.com/barateza/mcp-plesk-dev-docs>

## 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": "barateza-plesk-dev-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/barateza-plesk-dev-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/barateza-plesk-dev-docs/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