Seo Performance Mcp

by AutomateLab-tech

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About

The triage layer for content teams who ship with AI. SEO Performance MCP scores every post you have already published from Google Search Console, GA4, Matomo, Microsoft Clarity, and AI-citation data, then tells your agent exactly what to refresh, expand, merge, or kill this week.

Details

Author
AutomateLab-tech
Downloads
362
Categories
Marketing, Other, Search

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Seo Performance Mcp
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install the server via npx -y @automatelab/seo-performance-mcp and configure it in an MCP client (Claude, Cursor) using the provided JSON config with environment variables for each data source. It can also be used as a one

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "seo performance mcp": {
            "seo-performance": {
                "command": "npx",
                "args": [
                    "-y",
                    "@automatelab/seo-performance-mcp"
                ]
            }
        }
    }
}

McpServers

{
    "seo-performance": {
        "command": "npx",
        "args": [
            "-y",
            "@automatelab/seo-performance-mcp"
        ]
    }
}

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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