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SEO Performance MCP

  • 2 repo stars
  • Updated June 8, 2026
  • AutomateLab-tech/seo-performance-mcp

SEO Performance MCP is an MCP server that delivers per-URL SEO verdicts using GSC, GA4, Matomo, Clarity, and AI citation inputs.

About

SEO Performance MCP aggregates signals you already collect—Google Search Console, GA4, Matomo, Clarity, and AI citation data—and returns concise per-URL verdicts so a developer knows whether to refresh, expand, merge, or retire a page. It sits on the Launch SEO shelf but stays relevant in Grow analytics and Operate iterate loops when you prune content debt. Configuration is advanced: base64-encoded GSC service account JSON, site URL properties, and optional Matomo credentials must be correct before tools return trustworthy verdicts. Use it when you have enough traffic to judge pages, not on day-one ideas with no index presence. The server complements citation-only MCPs by tying AI visibility to classic search and behavioral analytics in one agent session.

  • Per-URL actions: refresh, expand, merge, kill
  • Data sources: Google Search Console, GA4, Matomo, Microsoft Clarity, AI citations
  • Env-driven setup: GSC service account, GSC_SITE_URL, Matomo URL/token/site id
  • npm `@automatelab/seo-performance-mcp` v1.0.0 with npx `-y` runtime hint
  • Stdio transport for Claude Code and Cursor workflows

SEO Performance MCP by the numbers

  • Data as of Jul 7, 2026 (Skillselion catalog sync)
terminal
claude mcp add --env GSC_SERVICE_ACCOUNT_JSON=YOUR_GSC_SERVICE_ACCOUNT_JSON --env GSC_SITE_URL=YOUR_GSC_SITE_URL --env MATOMO_URL=YOUR_MATOMO_URL --env MATOMO_TOKEN=YOUR_MATOMO_TOKEN --env MATOMO_SITE_ID=YOUR_MATOMO_SITE_ID --env GA4_PROPERTY_ID=YOUR_GA4_PROPERTY_ID --env GA4_SERVICE_ACCOUNT_JSON=YOUR_GA4_SERVICE_ACCOUNT_JSON --env CLARITY_PROJECT_ID=YOUR_CLARITY_PROJECT_ID --env CLARITY_API_TOKEN=YOUR_CLARITY_API_TOKEN --env POSTS_SITEMAP_URL=YOUR_POSTS_SITEMAP_URL --env POSTS_LIST=YOUR_POSTS_LIST --env GHOST_ADMIN_API_URL=YOUR_GHOST_ADMIN_API_URL --env GHOST_ADMIN_API_KEY=YOUR_GHOST_ADMIN_API_KEY --env CITATION_INTELLIGENCE_URL=YOUR_CITATION_INTELLIGENCE_URL seo-performance-mcp -- npx -y @automatelab/seo-performance-mcp

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Last updatedJune 8, 2026
RepositoryAutomateLab-tech/seo-performance-mcp

What it does

Get per-URL SEO verdicts—refresh, expand, merge, or kill—by blending Search Console, GA4, Matomo, Clarity, and AI citation signals inside your agent.

Who is it for?

Best when you have Search Console and analytics already wired and want agent-native content portfolio decisions.

Skip if: Pre-launch sites with no GSC data, or developers who only need keyword research without performance history.

What you get

Your agent returns structured refresh/expand/merge/kill guidance per URL so you can prioritize content work in one pass.

  • Per-URL refresh/expand/merge/kill recommendations
  • Unified view across up to five signal families in agent chat
  • Actionable content backlog for solo SEO maintenance

By the numbers

  • Version 1.0.0
  • Five integrated signal types named in catalog description
  • Four verdict actions: refresh, expand, merge, kill
README.md

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

Recommended MCP Servers

How it compares

Analytics-backed SEO verdict MCP, not a keyword generator or a standalone rank tracker UI.

FAQ

Who is SEO Performance MCP for?

site owners and small SaaS teams who monitor GSC and analytics and want MCP tools to rank-fix content by URL.

When should I use SEO Performance MCP?

Use it during quarterly content audits, after traffic plateaus, or when AI citations and classic SEO metrics disagree on a URL’s value.

How do I add SEO Performance MCP to my agent?

Add stdio config for `@automatelab/seo-performance-mcp`, set GSC_SERVICE_ACCOUNT_JSON and GSC_SITE_URL (plus Matomo vars if used), then run verdict tools from the agent.

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