"Orbit Sentinel - Satellite or Space Monitoring System" matching MCP servers:

Sentinel is a runtime enforcement layer for agent payments that blocks fraudulent transactions by enforcing signed mandates, tracing provenance, and detecting prompt injections. It acts as a guard between the agent and payment rails to prevent unauthorized payments.

A safe, allowlisted MCP server that lets AI agents run only a tiny set of harmless tools (echo, datetime, hash, dig, GET-only curl, whois, status checks) against explicitly allowed hosts, with sanitization, rate limiting, timeouts, and full audit logging.

A three-stage guardrail agent for LLM-powered coding assistants that reviews proposed actions before execution, blocking destructive commands and maintaining an audit trail.

A self-hosted governance layer for MCP servers that enforces policies, audits tool calls, and manages approvals for AI agents.

Enables AI agents to score their outgoing responses against groundedness and prompt-injection risks mid-turn, returning allow, warn, or block verdicts before the response reaches the user.

Security auditor for CI ecosystems that detects supply-chain and injection flaws in CI/CD configuration files across seven CI platforms, providing taint analysis, remediation, and compliance scoring.

Enables AI coding agents to audit Python and npm dependency licenses against your distribution context before shipping, returning CLEAN, REVIEW, or BLOCK verdicts with plain-language reasons and supporting notice generation.

Autonomous synthetic health checks, JSON-RPC 2.0 handshake validation, breaking schema drift detection, and credential leak scanning for remote MCP servers.

A continuous, out-of-band trust and reliability layer for the MCP ecosystem. It fingerprints MCP server tool definitions, detects and classifies drift (e.g., rug pulls) via a severity taxonomy, maintains a hash-chained evidence ledger, and gates CI with SARIF—while also acting as an MCP server itself so agents can check a server's safety before binding.

Enables security auditing of MCP servers by running them in a sandbox with fake secrets, capturing outbound traffic, and detecting tool poisoning or secret exfiltration before approval.

An MCP server for AI-powered API testing that enables automated positive, negative, and security testing directly from AI chat interfaces. It supports multiple AI providers and generates detailed security reports.

A security-hardened MCP server that enables AI assistants to securely manage and control a Linux server with multi-layer authentication, role-based access, and audit logging.

Turns Claude into an autonomous SOC analyst by ingesting security logs, detecting anomalies with ML, correlating events, mapping to MITRE ATT&CK, and generating incident reports.

Evaluates on-chain risk for Pharos agents before executing transactions, providing verdicts (safe/caution/dangerous) and risk-bounded execution plans via Foundry cast reads.

Governance framework for LLM agents. Exposes seven mechanically-enforced rules plus tools for preflight file protection, audit-chain verification, session handoff and worklog templates, MCP config auditing, and an emergency kill switch.

Analyzes Microsoft Sentinel solutions from GitHub repositories to map data connectors to Log Analytics tables and query security content like detections and playbooks. It provides instant access to the official Content Hub or private repositories through a high-performance pre-built index.

A Model Context Protocol server that enables AI-powered analysis of NPM packages through multiple tools for security vulnerability scanning, dependency analysis, package comparison, and quality assessment.

MCP server for Microsoft Sentinel. Enables access to Sentinel logs, incidents, analytics, and Entra ID data via a modular, queryable interface. Strictly non-production. Designed for use with Claude and other LLMs.

Scans remote MCP endpoints, manifests, and agent skills for security threats, providing deterministic scores, verdicts, and signed reports to verify agent infrastructure before trust or payments.

Enables AI agents to undergo interactive METTLE verification sessions by starting sessions, answering procedurally generated challenges, and retrieving signed credentials or tier evidence.