web-eval-agent: An MCP server that autonomously evaluates web applications

by refreshdotdev · MCP Server · ★ 1.2k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: browser-use, Playwright MCP & AI Browser Agents

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. 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.

debuggingdebugging-toolmcpmcp-servermodelcontextprotocolplaywrightqavibe-codingvibe-testing

Quick Facts

Stars1,238
Forks109
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score70/100
Open Issues17
Last Updated2026-02-11
Created2025-04-01
Platformsbrowser, mcp, python
Est. Tokens~7658k

About web-eval-agent

⚠️ PROJECT HAS BEEN SUNSET ⚠️ This project has been discontinued. We're building something new at withrefresh.com 🚀 operative.sh web-eval-agent MCP Server Let the coding agent debug itself, you've got better things to do. 🔥 Supercharge Your Debugging operative.sh's MCP Server launches a browser-use powered agent to autonomously execute and debug web apps directly in your code editor.

Compatible Skills

These tools work well together with web-eval-agent for enhanced workflows:

  • claude-code-settings — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • rulebook-ai — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

web-eval-agent alternative? Top 6 similar tools

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  • brightdata-mcp by brightdata · ⭐ 2.7k

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How this security grade is produced

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:

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