— · MIT
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
— · Apache-2.0
IAM Policy Autopilot is an open source static code analysis tool that helps you quickly create baseline AWS IAM policies that you can refine as your application evolves. This tool is available as a command-line utility and MCP server for use within AI coding assistants for quickly building IAM policies.
v4.9.1 · Elastic-2.0
The most comprehensive ServiceNow AI toolkit, including a full ServiceNow MCP server: 450+ MCP tools plus 26 AI capabilities (scan, review, build, ops, docs) and a direct BYOK mode. Works with Claude, ChatGPT, Gemini, Cursor, GitHub Copilot and any LLM.
— · no license
MCPCAN is a centralized management platform for MCP services. It deploys each MCP service using a container deployment method. The platform supports container monitoring and MCP service token verification, solving security risks and enabling rapid deployment of MCP services. It uses SSE, STDIO, and STREAMABLEHTTP access protocols to deploy MCP。
— · GPL-3.0
All-in-One malware analysis tool.
— · MIT
lunar.dev: Agent native MCP Gateway for governance and security
v1.0.1 · MIT
Two independent AI models read a GPR, locate or pipe scan and flag the do-not-core call.
— · MIT
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.
v0.1.3 · MIT License
Enables AI agents to perform passive security scans on domains, checking email spoofing (DMARC/SPF/DKIM), TLS weaknesses, security headers, exposed files, and subdomain-takeover risk without needing an API key.
— · no license
Enterprise AI bastion host for secure AI API and MCP access, with unified proxying, RBAC, audit logs, rate limiting, and cost tracking across OpenAI, Anthropic, Gemini, and self-hosted LLMs.
v0.7.31 · no license
Deterministic runtime safety for AI agents: scan PII, gate tool actions, verify LLM output.