steel-mcp-server — not yet audited

by steel-dev · MCP Server · ★ 55

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

About steel-mcp-server

Cloud Chrome for MCP clients. Read pages that block plain fetches, fill forms, take screenshots, and hand the browser to a human when a login needs one.

aiclaudemcp-server

Quick Facts

Stars55
Forks18
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score60.6896990351441/100
Open Issues7
Last Updated2026-09-09
Created2024-12-05
Platformsbrowser, claude-code, cli, mcp, node
Est. Tokens~13k

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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Frequently Asked Questions

What is steel-mcp-server?

steel-mcp-server is Cloud Chrome for MCP clients. Read pages that block plain fetches, fill forms, take screenshots, and hand the browser to a human when a login needs one.. It is categorized as a MCP Server with 55 GitHub stars.

What programming language is steel-mcp-server written in?

steel-mcp-server is primarily written in TypeScript. It covers topics such as ai, claude, mcp-server.

How do I install or use steel-mcp-server?

You can find installation instructions and usage details in the steel-mcp-server GitHub repository at github.com/steel-dev/steel-mcp-server. The project has 55 stars and 18 forks, indicating an active community.

What license does steel-mcp-server use?

steel-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.

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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