momentic

Free SEO, GEO, and AEO audits: analyze any page or domain, AI-crawler access, agent readiness.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Free SEO, GEO, and AEO audits: analyze any page or domain, AI-crawler access, agent readiness.

    How to connect

    How to connect momentic to Claude

    The server address to paste into Claude settings:

    https://momenticmarketing.com/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect momentic to ChatGPT

    The server address to paste into ChatGPT settings:

    https://momenticmarketing.com/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect momentic to Cursor

    The server address to paste into Cursor settings:

    https://momenticmarketing.com/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (11)

    Raw names from tools/list. Only developers need these.

    get_brand_overviewReturns the canonical AI-readable description of Momentic from /llms.txt. Use for authoritative brand info, positioning, services, and contact.
    list_pagesLists pages on momenticmarketing.com from sitemap.xml. Optional `section` filter: team, case-studies, capabilities, services, blog, seo-news, content-academy, google-updates, blog-categories, careers, about, contact, pricing.
    get_pageFetches a Momentic page as Markdown (uses Cloudflare's Markdown for Agents). Pass an absolute path like "/team/jane-doe" or a full momenticmarketing.com URL.
    searchSearches across Momentic page URLs from sitemap.xml (case-insensitive substring match on URL). For deeper search, fetch matching pages with get_page.
    analyze_pageFetches any public URL and returns structured on-page SEO signals: title, meta description, canonical, lang, heading counts, JSON-LD schema types, OpenGraph/Twitter cards, internal/external link counts, word count, and whether Cloudflare Markdown for Agents (Accept: text/markdown) returns markdown for this URL. Designed to power the page-seo-score and geo-aeo-readiness skills.
    analyze_siteProbes a domain root for site-wide AI-discovery signals: /llms.txt, /robots.txt (parsed AI-bot rules for GPTBot/ClaudeBot/PerplexityBot/GoogleOther/CCBot/Google-Extended/Applebot-Extended), /sitemap.xml (URL count + sections), /.well-known/agent-skills/index.json, /.well-known/api-catalog, /.well-known/mcp/server-card.json, and homepage Link header.
    check_botsProbes a URL with multiple AI bot user-agents in parallel and returns per-bot reachability (status, key WAF/CDN headers, and a verdict). Reveals WAF/CDN-layer blocks that robots.txt audits miss — e.g. a site that allows GPTBot in robots.txt but returns 403 to it at Cloudflare. Verdicts: reachable, blocked-403, challenged-by-cdn, rate-limited-429, server-error-5xx, redirected-to-block-page, timeout, fetch-error. The summary.blockingPattern field names exactly which bots got blocked when others got through.
    parse_freshness_signalsPure parser (no fetching). Given HTML plus optional response headers and a sitemap entry for the same URL, extracts every freshness marker on the page — HTTP Last-Modified, sitemap lastmod, JSON-LD dateModified/datePublished (including @graph), OpenGraph article:modified_time/published_time, meta updated/dc.date.modified/dcterms.modified/itemprop dateModified, and the first labelled visible date (Last updated / Updated / Published). Returns per-source ISO dates, the freshest source, cross-source agreement spread, and heuristic flags (stale year in title, suspicious future date, only-published-not-modified, none-at-all). Powers the geo-aeo-readiness skill's freshness check — `Last-Modified` headers and `dateModified` JSON-LD are weighted heavily for AI grounding eligibility.
    extract_linksPure HTML parser. Given a single page's HTML and its baseUrl, returns every <a href> resolved to absolute, separated into internal vs external by host, with cleaned anchor text, rel attribute, and nofollow flag. Skips fragments, mailto:, tel:, javascript:, and empty hrefs. Designed to feed compute_link_graph: the agent crawls pages on the user's machine (their IP, no Cloudflare subrequest cap) and calls extract_links per page, then ships the structured page data into compute_link_graph.
    compute_link_graphPure graph computation over a crawled page set. Input: an array of {url, internalLinks: [{href, anchor}, ...], title?, bodyText?}. Returns orphan pages (in-degree 0, excluding the homepage), hubs (top-N by in-degree), authorities (top-N by out-edges to hubs), PageRank-lite ranking, anchor-diversity issues (all-anchors-same, no-descriptive-anchors), connected components, and isolated clusters. With options.findMentions=true and title+bodyText supplied, also returns mention-not-linked suggestions. URL normalization (trailing slash, lowercased host, dropped utm_*/fbclid/gclid/etc.) is on by default.
    lookup_entityResolves a brand/topic/person to a structured entity record built from Wikidata + Wikipedia (free APIs, no auth). Pass exactly one of: `name` (search by string), `qid` (Wikidata Q-number to skip search), or `wikipediaTitle` (resolves to QID via the article's wikibase_item). Returns: qid, label, description, instanceOf (P31 with resolved labels), sameAs (Wikipedia + claim-derived URLs for Twitter/Instagram/Facebook/GitHub/LinkedIn/YouTube/Crunchbase/official site), sitelinks (top 10 language wikis) and sitelinkCount, Wikipedia summary + thumbnail, Wikipedia section outline (canonical sub-topic structure for content briefs), and alternativeMatches when a name search returned multiple candidates. Powers entity-graph alignment checks (Stage 4 trustworthiness, Stage 10B verification) and feeds the content-brief skill's outline.