SEO Performance MCP

SEO Performance MCP

A MCP server that turns your scattered SEO and analytics data into one clear verdict per URL. Plug it into Claude, Cursor, or any MCP-aware client and ask: "Which three posts should I update this week?" - and get an answer backed by hard numbers.

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seo-performance-mcp

Know which blog posts to refresh, expand, merge, or kill - without guessing.

A MCP server that turns your scattered SEO and analytics data into one clear verdict per URL. Plug it into Claude, Cursor, or any MCP-aware client and ask: "Which three posts should I update this week?" - and get an answer backed by hard numbers.

What it does

seo-performance-mcp unifies post-publish signals from every channel you already pay for:

  • Google Search Console - clicks, impressions, CTR, position, top queries
  • Matomo or GA4 - visits, dwell time, bounce rate
  • Microsoft Clarity - scroll depth, rage clicks, dead clicks
  • AI citation tracking - which LLMs cite your URL today vs. last month
  • Sitemap / CMS - publish dates, tags, word counts (any platform via XML sitemap; optional Ghost integration for richer metadata)

It then runs a deterministic rule engine over those signals and emits a verdict per URL:

refresh / expand / merge / kill / double_down / hold

with reason codes, evidence, and a 0-1 confidence score. Reporting only - the server never mutates your posts.

Why it matters

Most content teams have analytics in five tabs and a gut feeling. That's how good posts rot quietly, mediocre posts get over-promoted, and the obvious "rewrite this one" is invisible until traffic has already cratered.

This MCP closes the loop:

  • One question, one URL in, one verdict out.
  • Same logic across the whole cohort, so the ranking is comparable.
  • All decisions traceable to numeric thresholds you can pin in src/verdict/rules.ts.
  • AI clients (Claude, Cursor, MCP hosts) can drive the entire content audit in plain English.

Who it's for

  • Content marketers running a blog of 50+ posts and tired of guessing what to refresh.
  • SEO consultants doing audits who want a portable, deterministic scoring layer instead of bespoke spreadsheets.
  • AI-first content teams wiring up rewrite agents - this MCP is the upstream signal layer.
  • Indie publishers on Ghost, WordPress, Hugo, Astro, Next, Webflow, or any CMS that exposes a sitemap.

What you get

After one cohort run you have:

  • A ranked table of every post with a verdict and confidence score.
  • A markdown brief per "refresh" URL: numbers + top queries + suggested actions an editor (or a writing agent) can act on immediately.
  • A list of "quick wins": queries sitting at positions 5-15 with below-expected CTR - the fastest title-rewrite wins on the property.
  • A historical AI-citation diff: which LLMs cited you and stopped.

Install

npx -y @automatelab/seo-performance-mcp

In a Claude, Claude Code, or Cursor MCP config:

{
  "mcpServers": {
    "seo-performance": {
      "command": "npx",
      "args": ["-y", "@automatelab/seo-performance-mcp"],
      "env": {
        "POSTS_SITEMAP_URL": "https://example.com/sitemap.xml",
        "GSC_SERVICE_ACCOUNT_JSON": "<base64-encoded service-account JSON>",
        "GSC_SITE_URL": "sc-domain:example.com",
        "MATOMO_URL": "https://example.com/analytics",
        "MATOMO_TOKEN": "...",
        "MATOMO_SITE_ID": "1",
        "GA4_PROPERTY_ID": "123456789",
        "GA4_SERVICE_ACCOUNT_JSON": "<base64-encoded service-account JSON>",
        "CLARITY_PROJECT_ID": "...",
        "CLARITY_API_TOKEN": "...",
        "CITATION_INTELLIGENCE_URL": "https://citation.example.com"
      }
    }
  }
}

Every env var is optional. Adapters that lack their env config skip their slice of the snapshot; the server still boots. The verdict engine works on whatever slices are present.

Platform integration

Point it at any site, no CMS plugin required. The post-discovery layer resolves in priority order:

  1. POSTS_LIST - JSON array of {url, title?, published_at?, tags?, word_count?}. Use this when you already have a content index and want exact control.
  2. Ghost Admin API - if both GHOST_ADMIN_API_URL and GHOST_ADMIN_API_KEY are set, Ghost is used as a richer metadata source. Optional.
  3. HTML extraction - per-URL og:title, article:published_time, and JSON-LD datePublished are read live from the URL.
  4. XML sitemap - set POSTS_SITEMAP_URL to your sitemap (or sitemap index) and the server enumerates posts from <loc> + <lastmod>.

Most users only need POSTS_SITEMAP_URL. WordPress, Hugo, Astro, Next.js, Webflow, Framer, Wix, Squarespace, Notion-as-a-site, Substack-mirror sites all expose a sitemap by default.

To add a brand-new platform: nothing to build - just point POSTS_SITEMAP_URL at it.

Tools exposed

Tool What it returns
posts.list Posts with {url, title, age_days, tags} from sitemap, Ghost, or your POSTS_LIST.
posts.snapshot Per-URL unified rollup for a 30/60/90-day window: GSC + Matomo + GA4 + Clarity + citations + meta.
posts.decay_curve Weekly GSC clicks/impressions/position buckets + a decay/plateau/growth trend label.
posts.verdict Verdict (refresh/expand/merge/kill/double_down/hold) + reason codes + 0-1 confidence.
posts.refresh_brief Markdown brief for a human or downstream LLM editor: numbers, top queries, suggested actions.
cohort.report Cohort verdict table sorted by priority + confidence. "Which three posts should I refresh this week?"
posts.cite_loss LLM citations that dropped off for a given URL. Needs CITATION_INTELLIGENCE_URL.
gsc.quick_wins (page, query) pairs at positions 5-15 with low CTR - fastest title-rewrite wins.

Use as a GitHub Action

Run any of the tools on a cron from CI and post the output to a GitHub Issue, Discussion, or PR. The action is published on the GitHub Marketplace.

- uses: AutomateLab-tech/seo-performance-mcp@v1
  with:
    tool: cohort.report
    format: markdown
    input: '{"window": 90, "min_age_days": 90, "limit": 20}'
    gsc-service-account-json: ${{ secrets.GSC_SERVICE_ACCOUNT_JSON }}
    gsc-site-url: ${{ secrets.GSC_SITE_URL }}
    posts-sitemap-url: ${{ secrets.POSTS_SITEMAP_URL }}

Outputs:

Output Description
result Tool output as a multi-line string (markdown or JSON, per format).
result-file Path of the file the tool output was written to. Hand to peter-evans/create-issue-from-file etc.
rows For cohort.report with format: json only: number of rows returned.

A complete weekly-audit workflow that opens a GitHub Issue with the cohort report is in examples/weekly-cohort-report.yml.

Use as a one-shot CLI

The package also ships a seo-perf-cli bin so you can run a single tool without an MCP client:

npx -p @automatelab/seo-performance-mcp seo-perf-cli cohort.report \
  --input '{"window": 90, "limit": 20}' \
  --format markdown

Same env vars as the MCP server. --format markdown is supported for cohort.report and posts.refresh_brief; other tools fall back to fenced JSON.

Companion skills + Cursor rule

Three thin routing files ship in the repo so the LLM in your client knows when to reach for these tools:

  • skills/seo-performance/SKILL.md - tool-routing skill. Drop into ~/.claude/skills/seo-performance/ (or .claude/skills/ per project) to auto-load in Claude Code. Routes a single question to the right tool.
  • skills/weekly-audit/SKILL.md - one-shot weekly audit playbook. Composes gsc.quick_wins + cohort.report + posts.cite_loss into a deduped, cross-signal ranked digest with proposed edits per URL. Drop in alongside the routing skill.
  • cursor/rules/seo-performance.mdc - copy to .cursor/rules/seo-performance.mdc in any Cursor workspace.

All optional. The MCP server works without them; they just shorten the "which tool do I call" round-trip.

MCP prompts

The server exposes three prompts that bundle the playbook. Any MCP client (Claude Desktop, Claude Code, Cursor, Continue) can list and invoke them:

Prompt What it runs
audit_cohort cohort.report on posts >=90d, then posts.refresh_brief per refresh/expand/merge row. The weekly audit.
find_quick_wins gsc.quick_wins (positions 5-15) + per-URL posts.snapshot, then proposes verbatim-query meta_title rewrites.
citation_loss_sweep posts.cite_loss per URL, refresh_brief for any with losses, targeted H1/lead phrasing recommendations.

Verdict engine

Deterministic, rule-based, traceable. Reason codes:

  • ctr_below_position_expected
  • position_drift
  • decay_30d_over_30pct / decay_60d_over_50pct
  • stagnant_no_clicks
  • thin_content_low_dwell
  • rising_impressions_low_ctr / rising_clicks_continue_investment
  • citation_loss / citation_growth
  • duplicate_or_cannibalizing
  • high_bounce_low_scroll
  • fresh_post_too_young

The mapping (reasons → verdict) and every threshold lives in src/verdict/rules.ts. Edit it, pin it in tests, ship your own rule book.

Development

npm install
npm run dev        # tsx src/index.ts
npm run build      # tsc
npm test           # vitest

License

MIT

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