Your Website Data, Available to Every AI Tool

Website Intelligence Meets AI Workflows

Your website data should not be locked inside a single dashboard. With Evergreen's MCP Server, every piece of data Evergreen collects — crawl results, content audit scores, performance metrics, analytics — is available to the AI tools you already use for development and content work.

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external data sources. Evergreen implements an MCP server that exposes your website intelligence data as structured context, so any compatible AI tool can query it directly.

How It Works

1. Connect once — add your Evergreen MCP server endpoint to your AI tool's configuration. It takes a single line in your MCP settings file.
2. Query naturally — ask your AI assistant questions about your website data in plain English. The MCP server translates your questions into structured data lookups.
3. Get actionable answers — receive detailed responses with real data from your latest crawl, including page URLs, scores, issues, and analytics metrics.

There is no API to learn, no authentication tokens to manage manually, and no custom code to write. If your AI tool speaks MCP, it can talk to Evergreen.

What You Can Query

The Evergreen MCP server exposes the full depth of your website intelligence:

• Crawl data — page inventory, URL structure, internal link graphs, redirect chains, and response codes.
• Content audit results — per-page health scores, specific issues found, severity ratings, and fix recommendations.
• Performance metrics — Lighthouse scores, Core Web Vitals, and performance trends across crawls.
• Analytics data — GA4 sessions, Search Console impressions, clicks, CTR, and average position (when connected).
• Site structure — hierarchy depth, orphaned pages, section breakdowns, and navigation paths.

Use Cases That Save Hours

The MCP server turns Evergreen from a dashboard you visit into a data source you work with:

• Content briefs — ask your AI assistant to pull the audit data for a page, then generate a content improvement plan based on the specific issues found.
• Developer tickets — query for all pages with broken links or performance regressions, and have your AI tool draft fix tickets with the right context.
• Reporting automation — pull weekly summaries of score changes, new issues, and traffic shifts without logging into the dashboard.
• Competitive analysis — combine your Evergreen data with other context to analyze how your site structure and content compare to competitors.
• Bulk prioritization — ask for all pages below a certain content score that also have high traffic, and get a ranked list of where to focus effort.

Built on an Open Standard

Evergreen's MCP implementation follows the open Model Context Protocol specification. This means it works today with Claude Code, Cursor, Windsurf, and the growing ecosystem of MCP-compatible tools — and it will work with future tools that adopt the standard, without any changes on your end.

Pairs Naturally with the Platform

The MCP server gives you programmatic access to the same data you see in the Evergreen dashboard. Every insight from the visual sitemap, every issue from the content audit, every metric from performance monitoring, and every data point from analytics correlation is queryable. When you need to share findings with non-technical stakeholders, switch to shareable reports for a polished, visual format.

Get Connected in Minutes

Enable the MCP server in your Evergreen project settings, add the endpoint to your AI tool, and start querying. Your website intelligence data is ready the moment your first crawl completes.

Get Started Free