No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by aartiq · MCP Server · ★ 262
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is servicenow-mcp safe to install? View the security audit →
NowAIKit — ServiceNow MCP Server Connect Claude, ChatGPT, Gemini, Cursor, Copilot — or any AI — to ServiceNow. 450+ tools across ITSM, ITOM, CMDB, HRSD, CSM, Flow Designer, scripting & portal. Read, build, query and automate any instance in plain English. 🚀 Install (2 minutes) Requires Node.js 20+. Restart your AI client (Claude Desktop, Cursor, …) and start asking. Done. Prefer a UI? for a local dashboard — or use NowAIKit Cloud (nothing to install). 🔌 Manual setup (skip the wizard) Add this to your client's MCP config (Claude Desktop , Cursor , etc.): json { "mcpServers": { "nowa
| Stars | 262 |
| Forks | 112 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 64.1828139675108/100 |
| Last Updated | 2026-09-23 |
| Created | 2026-02-12 |
| Platforms | claude-code, gemini, mcp, node |
| Est. Tokens | ~14k |
These tools work well together with servicenow-mcp for enhanced workflows:
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servicenow-mcp is ServiceNow MCP server: 500+ tools and 26 AI capabilities for any AI (Claude, ChatGPT, Gemini, Cursor, Copilot). Multi-transport (stdio, SSE, HTTP), A2A, dynamic schema discovery, read-only by default.. It is categorized as a MCP Server with 262 GitHub stars.
servicenow-mcp is primarily written in TypeScript. It covers topics such as ai, ai-agent, ai-tools.
You can find installation instructions and usage details in the servicenow-mcp GitHub repository at github.com/aartiq/servicenow-mcp. The project has 262 stars and 112 forks, indicating an active community.
The top alternatives to servicenow-mcp on Agent Skills Hub include claude-historian-mcp, notion-mcp-server, openapi. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: