"Understanding Cline Rules Automation" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Persistent knowledge graph for AI-augmented teams. Store decisions, findings, and standing rules across agent sessions with semantic search and typed connections. Includes cross-session memory, audit trail, workspace isolation, and secret detection. Built for teams running agents that need to remember. Free until launch with team tier as default, anon trial available.
Governance firewall for autonomous AI agents. Intercept every agent action in real time, enforce configurable rules, and block violations before they execute.
55 tools, 7 Resources, Sigma rules, email SPF/DMARC, MITRE, CVE/KEV, risk_score. No key.
Security scanner for n8n workflows: 18 rules, OWASP Agentic mapped. Free MCP, paid x402 API.
Scan any public GitHub MCP-server repo for security issues. 37 MCP-specific L1 rules, 8 languages.
2,029 DISA STIG rules with official check/fix text, CCI mappings, and .ckl checklist export.
Zero-install security baseline for AI coding agents — OWASP/CWE-cited rules over MCP.
Hosted governance layer for LLM agents. Seven mechanically-enforced rules plus audit-chain verification, preflight file protection, session handoff, and an emergency kill switch.
Find the safest first AI workflow before investing in AI agents or automation.
Hextrap's MCP Connector protects your LLM coding sessions from installing malicious dependencies, typosquats, unpopular packages, and enforces your strict allow and deny lists. No setup means your LLM uses MCP to configure itself to use Hextrap's proxy's automatically, enforcing your firewall rules immediately. Manage your allow and deny lists right from your favorite LLM.
Cross-OEM industrial machine intelligence: identity, normalization, automation, attestation.
Git-native policy layer for AI agents: check_action verdicts against rules approved via PR.
HttpStatus MCP Server — 24 AI-callable tools for API testing, mocking, monitoring, and security. Create and manage API mocks, run chaos engineering rules, validate OpenAPI specs, scan URLs for security issues, check SSL certificates, debug CORS, analyze redirect chains, decode JWTs, inspect HAR files, trace distributed requests, capture webhooks, build automation workflows (including Postman import), and set up uptime monitors — all from your AI assistant.
Vulnerability management: scan projects, search sealed packages, manage sealing rules and reports.
Pre-spend firewall for AI agents. Approves, blocks, flags transactions against policy rules.
