# MakerAi

> MakerAi — gustavoeenriquez-makerai. Use this tool when you need to integrate enterprise-grade AI capabilities into Delphi applications, solving complex knowledge retrieval and workflow automation problems. MakerAi provides a native framework with autonomous agents, semantic memory, and universal LLM connectors, accepting various inputs and outputs through a visual workflow orchestration interface. Ideal for Delphi 10.3+ developers seeking to enhance their applications with AI-powered functionality.

Canonical page: https://skillsregistry.net/skills/gustavoeenriquez-makerai  
JSON: https://api.skillsregistry.net/v1/skills/gustavoeenriquez-makerai

## Description

The AI Operating System for Delphi. 100% native framework with RAG 2.0, autonomous agents, MCP protocol, and universal LLM connector. Supports OpenAI, Claude, Gemini, Ollama, and more. Delphi 10.4+ (limited), full support from Delphi 12 Athens.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/gustavoeenriquez/MakerAi)

## 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": "gustavoeenriquez-makerai"
    }
  }
}
```

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