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 paolobietolini · MCP Server · ★ 163
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gtm-mcp-server safe to install? View the security audit →
GTM MCP Server Let AI manage your Google Tag Manager containers. Create tags, audit configurations, generate tracking plans, and publish changes, all through natural conversation with Claude, ChatGPT, Gemini, Cursor, and more. URL: Table of Contents Supported AI Clients What Can You Do? Quick Start [C
| Stars | 163 |
| Forks | 32 |
| Language | Go |
| Category | MCP Server |
| License | BSD-3-Clause |
| Quality Score | 72.7650747972231/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-15 |
| Created | 2026-01-11 |
| Platforms | claude-code, go, mcp |
| Est. Tokens | ~20k |
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gtm-mcp-server is An MCP server for Google Tag Manager. Connect it to your LLM, authenticate once, and start managing GTM through natural language.. It is categorized as a MCP Server with 163 GitHub stars.
gtm-mcp-server is primarily written in Go. It covers topics such as ai, chatgpt, claude.
You can find installation instructions and usage details in the gtm-mcp-server GitHub repository at github.com/paolobietolini/gtm-mcp-server. The project has 163 stars and 32 forks, indicating an active community.
gtm-mcp-server is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.
The top alternatives to gtm-mcp-server on Agent Skills Hub include gtm-mcp-server, notion-mcp-server, ebay-mcp. 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: