Sentinel MCP Server
Related Servers
Alternatives to Sentinel MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceOwner-signed authorization before agent actions. Hosted Vizier v0.5.13 MCP: https://vizier.agendamcp.dpdns.org/mcp. ALLOW/BLOCK/REVIEW; anonymous calls never ALLOW. Your integration enforces the decision. SDK v0.5.13: https://www.npmjs.com/package/@agenda-intelligence/vizier-sdk. Grants are signed; legacy receipts are unsigned. Python stdio is a separate catalog.35 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables MCP-compatible AI agents to safely act on business backends by enforcing per-agent permissions, autonomy thresholds, human approval with review-and-edit, and full audit trails.MIT
- AlicenseBqualityAmaintenanceEnables AI agents and MCP clients to route every tool call through configurable rules that allow, block, or hold risky actions for human approval, while recording decisions in a tamper-evident audit trail.121,104 PyPI18Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables secure runtime mediation of tool requests from MCP-connected AI agents, enforcing least-privilege policies, validating intent and inputs, detecting multi-step attacks and information leaks, and supporting explainable decisions, audit trails, and human approval for sensitive actions.MIT
- AlicenseNot gradedqualityBmaintenanceEnables secure, cloud-agnostic MCP tool execution by authenticating agents, authorizing exact tools and arguments, enforcing independent one-time approvals, pinning upstream servers, and recording auditable decisions.16 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents and MCP servers to operate under autonomous security enforcement, including pre-deployment scanning, per-call authorization, runtime monitoring, incident containment, and comprehensive auditing.1MIT
TDQS
Scored across 7 tools
Each tool targets a clearly distinct operation: agent-action evaluation, policy explanation, audit-log status, device command evaluation, enforcement planning, device enrollment, and device telemetry. The only nearby pair is sentinel_evaluate_action and sentinel_device_command, but the descriptions sharply separate generic AI-agent actions from NetGuard device commands.
All tools use the same sentinel_ prefix and snake_case style, which makes the set predictable. However, several names are noun phrases (sentinel_device_command, sentinel_enforcement_plan, sentinel_device_telemetry) rather than a consistent verb_noun pattern.
Seven tools is well-scoped for the server's purpose, covering policy evaluation, device control, registration, telemetry, enforcement planning, and audit verification without obvious redundancy. Each tool appears to earn its place in the workflow.
The core lifecycle is covered: evaluate actions and device commands, explain policy, enroll devices, inspect telemetry, generate enforcement rules, and verify audit integrity. Minor gaps remain, such as listing or unregistering devices and retrieving audit entries or incident details, but agents can still execute the main security workflows.