What is DrissionPageMCP?
65/100
Trust Score (C)
⚠️ Use Caution
DrissionPageMCP is a devops that 基于DrissionPage和FastMCP的浏览器自动化MCP服务器. It has a Nerq Trust Score of 65/100 (C). 168 GitHub stars. Published by wxhzhwxhzh. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 168 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
65
TRUST SCORE
C
GRADE
168
STARS
0
DOWNLOADS
What DrissionPageMCP Does
DrissionPageMCP is a mcp_server in the devops category. 基于DrissionPage和FastMCP的浏览器自动化MCP服务器. It is published by wxhzhwxhzh and has no specified license. With 168 GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use DrissionPageMCP
DrissionPageMCP is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | wxhzhwxhzh |
|---|---|
| Category | devops |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=drissionpagemcp
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| ansible | 75 | 68.1K |
| Flowise | 68 | 49.6K |
| learn-claude-code | 76 | 42.5K |
| continue | 75 | 31.6K |
| agents | 79 | 29.1K |
Frequently Asked Questions
What is DrissionPageMCP used for?
DrissionPageMCP is a devops tool. 基于DrissionPage和FastMCP的浏览器自动化MCP服务器.
Is DrissionPageMCP free?
License: Check project page. DrissionPageMCP has 168 GitHub stars.
Is DrissionPageMCP safe?
DrissionPageMCP has a Nerq Trust Score of 65/100 (C). Use with caution.
What are alternatives to DrissionPageMCP?
Top alternatives: ansible, Flowise, learn-claude-code. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
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Last updated September 2026. Trust scores based on automated analysis of public data.