by olegzhr · MCP Server · ★ 65
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 65 |
| Forks | 18 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67/100 |
| Last Updated | 2026-10-17 |
| Created | 2017-02-01 |
| Platforms | mcp, python |
| Est. Tokens | ~14k |
Altprobe Altprobe gives security and platform teams visibility into AI agent, MCP, REST API, and gateway traffic. It collects events from gateways, proxy logs, runtime sensors, and network security tools, normalizes them into OCSF, and sends them to OpenSearch or compatible downstream systems.
These tools work well together with altprobe for enhanced workflows:
Looking for a altprobe alternative? If you're comparing altprobe with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI
pctx is the execution layer for agentic tool calls. It auto-converts agent tools and MCP servers into code tha
NL2SQL - Ask questions in plain English, get SQL queries and results. Powered by LangGraph.
Index the world's undocumented APIs
Open-source MCP gateway and control plane for teams to govern which tools agents can use, what they can do, an
Wazuh MCP Server: AI-Driven SOC Automation
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: