SEOLint is an SEO tool built for technical founders and development teams that connects to AI coding agents instead of producing a standalone report. It runs as a Model Context Protocol (MCP) server, so it plugs directly into Claude Code, Cursor, Windsurf, and Claude Desktop, letting the agent scan a site, surface issues, and apply fixes inside the developer's existing workflow.
The scanner runs 40+ checks across SEO, performance, accessibility, and answer-engine optimization. Rather than handing over generic advice, it extracts the actual broken HTML element for each issue and pairs it with an AI-ready fix prompt, so an agent can open the right file and edit the right tag. A memory system tracks scan history over time, labeling problems as NEW, PERSISTING, or REGRESSED, and infers a site profile (goal, audience, niche) to keep recommendations ranked by traffic impact instead of dumping a long undifferentiated list.
Pricing has three tiers. The Dev Tool tier is free and includes full linting, the memory system, and CLI, dashboard, and MCP access, running on the user's own Claude API key with no credit card required. The SEOLint Agent tier, listed at $79/month (down from $99) with a 7-day trial, adds an autonomous agent that runs weekly scans, ships mechanical fixes as GitHub pull requests (titles, meta descriptions, alt text, schema, sitemaps), and drafts content from Search Console data. A custom tier covers teams and agencies with higher usage limits.
What sets SEOLint apart is its agent-native design: by exposing prioritized, element-level issues through MCP, it turns SEO maintenance into something you tell an AI coding assistant to fix directly, rather than a PDF you read and act on manually.