AISentinel
Security, control, and observability layer for AI agents — by Kabzhanov / BizDNAi
No README could be loaded. View the project on GitHub for full documentation.
Frequently asked questions
What is AISentinel?
AISentinel is Security, control, and observability layer for AI agents — by Kabzhanov / BizDNAi
How do I install AISentinel?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is AISentinel open source?
Yes — it is hosted on GitHub at https://github.com/Kabzhanov/AISentinel and has 1 stars.
Related MCP tools
pipelockOpen-source AI agent firewall for MCP security and agent egress. Scans mediated HTTP, MCP, A2A, and WebSocket traffic for exfiltration, SSRF, and prompt injection, and emits mediator-signed action receipts: verifiable audit evidence from outside the agent.
kubesharkeBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.
radarThe missing open-source Kubernetes UI with a built-in MCP server for AI agents. See what's broken, why, and what changed. Issues, Topology, event timeline, Helm, GitOps, live service traffic, and cluster audits - all in one Go binary.
toolhiveToolHive makes deploying MCP servers easy, secure and fun Go-based implementation. Trusted by 1300+ developers. Trusted by 1300+ developers.
MCPJungleOne place to manage & connect to all your MCP servers
mcp-language-servermcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, and diagnostics.
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP