steel-mcp-server: Cloud Chrome for MCP clients

by steel-dev · MCP Server · ★ 58

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

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

Security audit verdict: SAFE · quality 76/100

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.

aiclaudemcp-server

Quick Facts

Stars58
Forks23
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score76/100
Open Issues13
Last Updated2026-10-20
Created2024-12-05
Platformsbrowser, claude-code, cli, mcp, node
Est. Tokens~17k

About steel-mcp-server

Steel MCP Server Give Claude, Cursor, or any MCP client a real Chrome in the cloud. Read pages that block a plain , fill forms, take screenshots, and hand the browser to a person when a login or a CAPTCHA needs one. The browser is run by Steel. Status: . Download it from Releases. It is not published to npm. is not live yet. Install You need a Steel API key. The free tier is enough to try it.

Compatible Skills

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

  • railway-mcp-server — semantic(0.67)+same_lang+similar_pop+shared_platform (58%)
  • pi-annotate — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • ai-video-editor — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)

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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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