"MCP server for personalized AI course creation at aicourse.aiee.dev using remote streamable HTTP" matching MCP servers:

Provides a generic HTTP client tool allowing AI agents to make arbitrary HTTP requests from their environment, with support for environment-variable placeholders for secrets.

Two-way Burp Suite MCP bridge enabling AI agents to capture traffic, analyze endpoints, queue scans, and send findings back to Burp.

Enables users to analyze HTTP response headers of any URL for security and configuration, returning a 0-100 security score, HSTS/CSP and header checks, server detection, caching details, and recommendations. Supports pay-per-call access via x402 micropayments.

HTTP Inspector MCP Server enables sending arbitrary HTTP requests, viewing history via a web panel, and taking screenshots of the panel for AI penetration testing workflows.

Analyze and score HTTP security headers (CSP, HSTS, CORS, cookies) with actionable fix recommendations for web applications.

GDB Enhanced Features MCP server for remote debugging and CTF exploitation with 41 specialized tools including ROP search, format-string detection, and memory patching.

A comprehensive HTTP client MCP server for security testing, API testing, and web automation that provides full-featured HTTP tools with detailed logging capabilities.

MCP server for AI-driven VAPT orchestration, enabling agents to plan and execute authorized security scans through a control plane that enforces scope, sanitization, budget, rate limits, human approval, and audit logging.

An authorization-first MCP-governed control plane for executing security-tool workflows in explicitly approved, sandboxed environments with auditable campaigns and AI collaboration boundaries.

Enables AI agents to autonomously run over 150 cybersecurity tools for penetration testing, vulnerability discovery, bug bounty automation, and security research through MCP.

Enables AI agents to plan and run authorized offensive security assessments across 150+ integrated tools, with full activity logging of every scan.

Autonomous pentests from one command: real security tools, working PoCs, and audit-ready reports, all driven via MCP.

Enables AI agents to run bounded security reconnaissance tools against a local OWASP Juice Shop target via MCP, including HTTP checks, header inspection, Nmap scanning, and web enumeration, without granting arbitrary shell access.

Simulates sensitive internal tools as a honeypot to detect unauthorized access and AI agent behaviors using Canarytokens, deployed as a serverless Cloudflare Worker with MCP protocol support.

Enables Claude Code to leverage OpenAI models for expert code review, deep architecture analysis, and security audits, with automatic markdown report generation.

Enables natural-language-driven security testing by orchestrating multiple pen-testing tools through MCP, with automated scan execution and AI-assisted vulnerability summarization.

Enables remote execution of 150+ offensive-security tools through a streamable-HTTP MCP server, allowing MCP clients like Claude Code to drive the HexStrike toolset over the network.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.

Enables red-team and blue-team security workflows on BlackArch Linux by wrapping local tools like nmap, gobuster, nikto, and hydra as MCP tools, with scope-gating that prevents unauthorized scanning against any target not explicitly listed in a local scope.yaml file.

Enables users to audit EVM, Solana, and Move smart contracts and assess Web3 security risks through tools for honeypot detection, SPL token risk, MEV sandwich exposure, address poisoning, HTTP 402 invoice fraud, UTXO consolidation planning, and cross-chain bridge quotes.