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 jumodada · MCP Server · ★ 489
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Drissionpage-MCP-Server safe to install? View the security audit →
DrissionPage MCP Server Professional browser automation for Claude Code and MCP clients powered by DrissionPage []() Official Repositories: GitHub | GitCode English Version | 中文版本 🚀 What is DrissionPage MCP? DrissionPage MCP Server is a local Model Context Protocol (MCP) server that brings DrissionPage browser automation tools to Claude Code, Claude Desktop, and other MCP clients. Unlike screenshot-based approaches, it provides structured, deterministic web automation through 21 powerful tools that l
| Stars | 489 |
| Forks | 40 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 75.0006119947588/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-14 |
| Created | 2026-01-22 |
| Platforms | browser, claude-code, cli, codex, mcp, python |
| Est. Tokens | ~16k |
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Drissionpage-MCP-Server is DrissionPage MCP Server · Browser automation for Claude Code, Codex, and MCP clients. It is categorized as a MCP Server with 489 GitHub stars.
Drissionpage-MCP-Server is primarily written in Python. It covers topics such as browser-automation, claude-code, codex.
You can find installation instructions and usage details in the Drissionpage-MCP-Server GitHub repository at github.com/jumodada/Drissionpage-MCP-Server. The project has 489 stars and 40 forks, indicating an active community.
The top alternatives to Drissionpage-MCP-Server on Agent Skills Hub include google-ai-mode-mcp, pilot-shell, codexia. 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: