screaming-frog-mcp

screaming-frog-mcp

Enables AI agents to analyze Screaming Frog SEO Spider crawl files directly, offering SEO audits, issue summaries, custom SQL queries, and comparisons without manual exports.

Category
Visit Server

README

screaming-frog-mcp

MCP server to analyze Screaming Frog SEO Spider crawl files directly from an AI agent. No credentials — it only needs the path to a saved crawl file.

Purpose

Reads Screaming Frog crawl exports (.dbseospider, .seospider, .duckdb, or a folder of exported CSVs) without manually exporting anything. Built on top of Screaming Frog's ~628 pre-computed report tabs, so counts are instant even on 100K+ URL crawls — nothing gets loaded fully into memory unless you explicitly sample or export it.

Requirements

  • Screaming Frog SEO Spider installed
  • Java 8+ available (java -version)
  • Python package screamingfrog (pip install screamingfrog)

Tools (11)

Tool What it does
sf_full_audit Full SEO audit in one call: HTTP errors, redirects, titles, meta descriptions, H1s, indexability, images, thin content — counts + sample URLs + a health score
sf_issues_summary Instant counts of every issue type (no memory load, works on huge crawls)
sf_get_issue Affected URLs for one specific issue, with pagination (limit/offset)
sf_export Export all URLs for an issue to CSV (no row limit)
sf_list_tabs List all available report tabs in the crawl, optionally filtered
sf_crawl_summary General crawl summary: total URLs, status code distribution
sf_sql Run a SQL query directly against the crawl (DuckDB, table APP.URLS)
sf_search_pages Search a term across URL, title and meta description
sf_inlinks All internal links pointing to a specific URL
sf_redirect_chains Redirect chains with N or more hops
sf_compare_crawls Diff two crawls: status, title and redirect changes

sf_get_issue/sf_export accept either a friendly alias (sin_titulo, errores_4xx, h1_missing...) or the exact Screaming Frog tab name — use sf_list_tabs to discover what's available in your crawl.

Workflow

  1. Open Screaming Frog and crawl the site.
  2. File → Save Crawl → save as .seospider anywhere on disk.
  3. Point the agent at it:

    "Run a full audit on /path/to/crawl-2026-08.seospider"

Supported file formats

Extension Notes
.seospider Native Screaming Frog format — needs internal conversion (slower on first load)
.dbseospider Same, with a DuckDB cache included — instant on second load
.duckdb Exported DuckDB database
Folder of CSVs Manual Screaming Frog exports

Setup

No credentials needed.

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

MCP client configuration

{
  "mcpServers": {
    "screaming-frog": {
      "command": "/path/to/.venv/bin/python3",
      "args": ["/path/to/screaming-frog-mcp/server.py"]
    }
  }
}

Notes

  • First load of a .seospider file can take 30–60s (converts Derby → DuckDB internally). Subsequent loads of the same file are fast thanks to the on-disk .duckdb cache.
  • Results are capped (100–500 rows depending on the tool) to avoid flooding the agent's context — use sf_export when you need the full list.
  • If you have a JDK 21 installed at ~/.local/jdk21, it's picked up automatically via JAVA_HOME.

License

MIT — see LICENSE.

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