MakerAi — security grade SAFE, quality 61/100

Security audit verdict: SAFE · quality 61/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by gustavoeenriquez · MCP Server · ★ 206

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is MakerAi safe to install? View the security audit →

About MakerAi

MakerAI Suite v3.4 — The AI Ecosystem for Delphi 🌐 Official Website: https://makerai.cimamaker.com 📖 Manual: https://www.gustavoenriquez.com/book-makerai — available in English and Spanish Free Pascal / Lazarus port available — Full port of MakerAI Suite for FPC 3.2+ (12 LLM drivers, RAG, Agents, MCP, Embeddings). See the branch. MakerAI is more than an API wrapper Most AI libraries for Delphi stop at wrapping REST calls. MakerAI is different. Yes, MakerAI includes native, provider-specific components that give you direct, full-fidelity acce

ai-agentsclaudedelphiembeddingsfpcfree-pascalfunction-callinggeminigrokgroq

Quick Facts

Stars206
Forks60
LanguagePascal
CategoryMCP Server
LicenseMIT
Quality Score60.9564548897685/100
Open Issues1
Last Updated2026-09-20
Created2024-05-30
Platformsclaude-code, cli, gemini, mcp
Est. Tokens~22k

Compatible Skills

These tools work well together with MakerAi for enhanced workflows:

  • abso — semantic(0.24)+complementary+shared_fw(openai)+rare_topics+similar_pop+shared_platform (65%)
  • toolmate — semantic(0.16)+complementary+rare_topics+similar_pop+shared_platform (54%)
  • BaseAI — semantic(0.16)+complementary+rare_topics+similar_pop+shared_platform (54%)

MakerAi alternative? Top 6 similar tools

Looking for a MakerAi alternative? If you're comparing MakerAi with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • toolmate by eliranwong · ⭐ 174

    ToolMate AI, developed by Eliran Wong, is a cutting-edge AI companion that seamlessly integrates agents, tools

  • c4-genai-suite by codecentric · ⭐ 173

    c4 GenAI Suite

  • abso by lunary-ai · ⭐ 56

    TypeScript SDK to call 100+ LLM Providers in OpenAI format.

  • BambooAI by pgalko · ⭐ 791

    A Python library powered by Language Models (LLMs) for conversational data discovery and analysis.

  • UnrealGenAISupport by prajwalshettydev · ⭐ 632

    Unreal Engine plugin for LLM/GenAI models & MCP UE5 server. OpenAI GPT-5, Deepseek R1, Claude Opus/Sonnet, Gem

  • SimplerLLM by hassancs91 · ⭐ 219

    Python library for building with LLMs. One interface across 11 providers (OpenAI, Anthropic, Gemini, DeepSeek,

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Frequently Asked Questions

What is MakerAi?

MakerAi is 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+ (l. It is categorized as a MCP Server with 206 GitHub stars.

What programming language is MakerAi written in?

MakerAi is primarily written in Pascal. It covers topics such as ai-agents, claude, delphi.

How do I install or use MakerAi?

You can find installation instructions and usage details in the MakerAi GitHub repository at github.com/gustavoeenriquez/MakerAi. The project has 206 stars and 60 forks, indicating an active community.

What license does MakerAi use?

MakerAi is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to MakerAi?

The top alternatives to MakerAi on Agent Skills Hub include toolmate, c4-genai-suite, abso. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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