mcp-browser-use — security grade SAFE, quality 75/100

Security audit verdict: SAFE · quality 75/100

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 JovaniPink · MCP Server · ★ 61

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

🔒 Is mcp-browser-use safe to install? View the security audit →

About mcp-browser-use

MCP Browser Use Server Model Context Protocol (MCP) server that wires browser-use into Claude Desktop and other MCP compatible clients. Overview This repository provides a beta MCP wrapper around the automation engine. It exposes a single MCP tool () that orchestrates a browser session, executes the agent, and returns the final result to the client. The layout keeps configuration in one place, makes security boundaries testable, and isolates upstream migrations from the MCP interface. Key Capabilities Automated browsing – Navigate, interact with forms, control tabs, capture screenshots, and read page content through natural-language instructions executed by . Agent lifecycle management – wraps 's base agent to add history export, richer prompts, and consistent error handling across runs. Centralised browser configuration – translates environment variables into a ready-to-use , enabling persistent profiles, proxies, and custom Chromium flags without touchin

agentic-aibrowser-automationbrowser-usefastapimcpmodel-context-protocolpython

Quick Facts

Stars61
Forks12
LanguagePython
CategoryMCP Server
Quality Score75.1507938087627/100
Open Issues6
Last Updated2026-08-17
Created2025-01-24
Platformsbrowser, mcp, python
Est. Tokens~15k

Compatible Skills

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

  • bux — semantic(0.61)+complementary+rare_topics+same_lang+similar_pop+shared_platform (76%)
  • Auto-Use — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • gemini-browser-agent — semantic(0.55)+complementary+rare_topics+similar_pop+shared_platform (64%)
  • openbrowser-ai — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (63%)

mcp-browser-use alternative? Top 6 similar tools

Looking for a mcp-browser-use alternative? If you're comparing mcp-browser-use with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • oreilly-ai-agents by sinanuozdemir · ⭐ 299

    An introduction to the world of AI Agents

  • omnicoreagent by omnirexflora-labs · ⭐ 250

    The governed runtime for Python agents you can let act: policy on every action, durable runs, sandboxes, budge

  • mcp-guardian by eqtylab · ⭐ 201

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  • eval-view by hidai25 · ⭐ 133

    Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGr

  • augments-mcp-server by augmnt · ⭐ 127

    Comprehensive MCP server providing real-time framework documentation access for Claude Code with intelligent c

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Frequently Asked Questions

What is mcp-browser-use?

mcp-browser-use is FastAPI MCP server that exposes browser-use automation through a testable Model Context Protocol boundary.. It is categorized as a MCP Server with 61 GitHub stars.

What programming language is mcp-browser-use written in?

mcp-browser-use is primarily written in Python. It covers topics such as agentic-ai, browser-automation, browser-use.

How do I install or use mcp-browser-use?

You can find installation instructions and usage details in the mcp-browser-use GitHub repository at github.com/JovaniPink/mcp-browser-use. The project has 61 stars and 12 forks, indicating an active community.

What are the best alternatives to mcp-browser-use?

The top alternatives to mcp-browser-use on Agent Skills Hub include oreilly-ai-agents, omnicoreagent, mcp-guardian. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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