by drcrypterdotru · MCP Server · ★ 96
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# 🧠⚡ SQLMAP SKYNET - Autonomous AI v1.2.0 AI-assisted SQLMap orchestration + real-time dashboard + MCP tool server (agent-ready) A guided, repeatable workflow: Targets → Preflight → Phased Scan → AI Assist → Evidence → Report 🔥 Update v1.2.0 — Autonomous AI + MCPFast Commands ✅ Renamed branding from Intelligence → Autonomous AI ✅ Added MCPFast (FastMCP) command-line usage (No UI required) ✅ MCP supports URL scan and targetlist (.txt) scan ✅ Best for Windows + Linux servers (headless / no GUI) What is SQLMAP SKYNET (simple) SQLMAP SKYNET wraps with a Neural Ops workflow — fast, structured, and trackable. ✅ Operational phases (Detect → Bypass → Enumerate → Dump) ✅ Dashboard visibility (logs, stats, artifacts) ✅ Autonomous AI tuning (Ollama / Cloud) ✅ RAG intelligence (learns from success, recalls patterns) ✅ MCP tool server (agent automation) Goal: higher signal, less noise, and reports real proof. workflow : Dashboard + MCP + AI + RAG mermaid flowchart TD A["1. Targetssingle URL or list"] -- B["2. PreflightGET or POST + headers + cookies + safe limits"] B -- C["3A. Dashboard ControlFastAPI UI +
| Stars | 96 |
| Forks | 29 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.5667523729117/100 |
| Last Updated | 2026-02-26 |
| Created | 2026-02-19 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~234k |
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sqlmap-skynet is SQLMap with Autonomous AI, phased workflows, RAG memory, and MCP Agent Tools. It is categorized as a MCP Server with 96 GitHub stars.
sqlmap-skynet is primarily written in Python. It covers topics such as agents, ai, autonomous.
You can find installation instructions and usage details in the sqlmap-skynet GitHub repository at github.com/drcrypterdotru/sqlmap-skynet. The project has 96 stars and 29 forks, indicating an active community.
sqlmap-skynet is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to sqlmap-skynet on Agent Skills Hub include azure-ai-travel-agents, agent-builder, mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.