kogiqa-mcp: This web browser has been designed to help your agent debug and develop complex web applications. (MCP Server)

by atagon-GmbH · MCP Server · ★ 93

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

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

How to install kogiqa-mcp

npx kogiqa-mcp@latest
claude mcp add kogiqa-browser npx kogiqa-mcp@latest

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 71/100

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.

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.

ai-agentautomationbrowser-automationheadless-browserheadless-chromellmmcpmcp-servermcp-toolsplaywright

Quick Facts

Stars93
Forks9
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score71/100
Last Updated2026-10-23
Created2026-07-02
Platformsbrowser, mcp, node
Est. Tokens~8k

About kogiqa-mcp

kogiQA MCP Web Browser A Model Context Protocol (MCP) server that provides browser automation capabilities using kogiQA. This server enables LLMs to interact with web pages through natural language, bypassing the need for screenshots or visually-tuned models.

Compatible Skills

These tools work well together with kogiqa-mcp for enhanced workflows:

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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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