screaming-frog-mcp — security grade SAFE, quality 78/100

Security audit verdict: SAFE · quality 78/100

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 bzsasson · MCP Server · ★ 81

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

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About screaming-frog-mcp

Screaming Frog SEO Spider MCP Server An MCP (Model Context Protocol) server that gives Claude (or any MCP-compatible client) programmatic access to Screaming Frog SEO Spider — crawl websites, export crawl data, and manage your crawl storage, all from your AI assistant. Prerequisites Screaming Frog SEO Spider installed on your machine (tested with v23.x, should work with v16+). Download from: https://www.screamingfrog.co.uk/seo-spider/ A valid Screaming Frog license. The free version has a 500-URL crawl limit. Most MCP features (headless CLI, saving/loading crawls, exports) require a paid license. Python 3.10+ Important: How the Workflow Works Screaming Frog uses an internal database that can only be accessed by one process at a time. This means: You must close the Screaming Frog GUI before the MCP server can access crawl data. The typical workflow is: Run your crawl — either through the SF GUI (with all your custom settings, filters, etc.) or via the MCP tool. Close the Screaming Frog GUI — the GUI locks the crawl database. The MCP server's headless CLI cannot read or export data while the GUI is running.

automationclaudeclaude-codeheadlessmcpmcp-serverscreaming-frogscreaming-frog-seo-spiderseoseo-tools

Quick Facts

Stars81
Forks15
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score78.3202228789813/100
Last Updated2026-08-31
Created2026-02-28
Platformsclaude-code, cli, mcp, python
Est. Tokens~12k

Compatible Skills

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

  • seo-agi — semantic(0.41)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • seobuild-onpage — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • ultimate-seo-geo — semantic(0.42)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)

screaming-frog-mcp alternative? Top 6 similar tools

Looking for a screaming-frog-mcp alternative? If you're comparing screaming-frog-mcp 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.

  • seo-skills by seranking · ⭐ 116

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Frequently Asked Questions

What is screaming-frog-mcp?

screaming-frog-mcp is Headless MCP server for Screaming Frog SEO Spider – run crawls, export and analyze crawl data via the CLI. Small locked-down tool surface for scheduled audits, CI, and unattended AI agents.. It is categorized as a MCP Server with 81 GitHub stars.

What programming language is screaming-frog-mcp written in?

screaming-frog-mcp is primarily written in Python. It covers topics such as automation, claude, claude-code.

How do I install or use screaming-frog-mcp?

You can find installation instructions and usage details in the screaming-frog-mcp GitHub repository at github.com/bzsasson/screaming-frog-mcp. The project has 81 stars and 15 forks, indicating an active community.

What license does screaming-frog-mcp use?

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

What are the best alternatives to screaming-frog-mcp?

The top alternatives to screaming-frog-mcp on Agent Skills Hub include seo-skills, claude-emporium, daymon. 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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