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.
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
- Open Screaming Frog and crawl the site.
File → Save Crawl→ save as.seospideranywhere on disk.- 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
.seospiderfile can take 30–60s (converts Derby → DuckDB internally). Subsequent loads of the same file are fast thanks to the on-disk.duckdbcache. - Results are capped (100–500 rows depending on the tool) to avoid flooding
the agent's context — use
sf_exportwhen you need the full list. - If you have a JDK 21 installed at
~/.local/jdk21, it's picked up automatically viaJAVA_HOME.
License
MIT — see LICENSE.
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