Connect-MCP

com.momenticmarketing/momentic

com.momenticmarketing/momentic · v0.2.0

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

MCPremoteno credentialsNewsAnalytics & marketingMessaging

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 11 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 94/100

What it does: 11 tools · 8 read, 0 write · Cloud & DevOps, Analytics & marketing, Documents & PDF

Test call list_pages: worked (1,062 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +9
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://momenticmarketing.com/mcp

Tools

11 tools listed at last check
  • get_brand_overview Returns the canonical AI-readable description of Momentic from /llms.txt. Use for authoritative brand info, positioning, services, and contact.
  • list_pages Lists 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_page Fetches 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.
  • search Full-text search across every page on momenticmarketing.com (titles, headings, body text and image descriptions). Returns up to 10 matching pages, best first, each with its URL, title and the passage that matched. Read a full page with get_page.
  • analyze_page Fetches any public URL and returns structured on-page SEO signals: title, meta description, canonical (+ canonicalCount), lang, heading counts, schema types (JSON-LD including @graph and nested entities, plus microdata and schema.org RDFa; schemaTypesBySyntax splits them), OpenGraph/Twitter cards (a
  • analyze_site Probes a domain root for site-wide AI-discovery signals: /llms.txt; /robots.txt parsed per RFC 9309 for GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-SearchBot, Claude-User, Claude-Web, PerplexityBot, Perplexity-User, GoogleOther, Google-Extended, CCBot, Applebot-Extended, Meta-ExternalAgen
  • check_bots Probes a URL with AI crawler user agents (GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-SearchBot, Claude-User, PerplexityBot, Perplexity-User, GoogleOther, CCBot, Applebot, meta-externalagent) in parallel, plus a regular Chrome browser request as a baseline, and returns per-bot reachabilit
  • parse_freshness_signals Pure 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 up
  • extract_links Pure 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_l
  • compute_link_graph Pure 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
  • lookup_entity Resolves 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, desc

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