Connect-MCP

RivalSweeper Signals

com.rivalsweeper/signals · v1.6.0

Beta. Pay-per-call eCommerce competitive intel for AI agents: prices, promos, alerts, readiness.

MCPremoteAPI keyE-commerce

Reported outcomes

No reports yet.

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

Last check

Reachable, 35 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 86/100

What it does: 35 tools · 33 read, 2 write · E-commerce

Test call list_my_tracked_brands: needs a key: HTTP 401 (936 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +8
  • Read/write annotations: +5
  • Safe test call: +8
  • 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://mcp.rivalsweeper.com/mcp

Tools

35 tools listed at last check
  • check_brand_data_coverage Check which competitive signals RivalSweeper has for an eCommerce domain, with per-signal freshness. Free and non-billable - call this before any billable tool so you never pay for a domain we do not cover.
  • get_active_promotions_and_coupons Active promotions/discount codes for a brand: code, discount type/value, min order, validity window. Freshness-stamped. Included in RivalSweeper plans (developer API keys: 1 credit, no data = no charge).
  • get_brand_price_statistics Price statistics (min/max/avg/median) plus recent product samples for a brand, optionally filtered by product-name query. Freshness-stamped. Included in RivalSweeper plans (developer API keys: 1 credit, no data = no charge).
  • find_closest_competitor_brands The brand's last-known DNA competitor set: the closest competing brands RivalSweeper identified for a domain, each with name, website, country, home-market flag and match tier, plus the brand's own DNA profile. Freshness-stamped. Included in RivalSweeper plans (developer API keys: 2 credits, no data
  • get_homepage_top_links A brand's current homepage top links (up to 10) enriched from its catalog and grouped into Products, Categories and Content, in that order. Per link: title, vendor, price + compare-at/on-sale, currency, stock status, URL status (active/inactive), review rating, homepage position, anchor text and las
  • get_ai_agent_readiness_score RivalSweeper 6-pillar AI/agent-readiness score for a domain (schema.org, technical access, content quality, trust, AI-specific, entity recognition) with tier and highlights. Uniquely RivalSweeper data. Included in RivalSweeper plans (developer API keys: 1 credit, no data = no charge).
  • get_full_brand_snapshot Bundle: all current signals for one brand-day - promotions, price stats + samples, AI-readiness - in one call. Included in RivalSweeper plans (developer API keys: 15 credits, no data = no charge).
  • get_my_usage_and_plan Your own account status. Signed in with RivalSweeper: your plan, tool calls used this month vs. the plan limit, and the domains you can query. Developer API key: prepaid credit balance plus calls and credits per tool over a look-back window (default 30 days). Free; only ever returns your own usage.
  • get_significant_competitor_changes Recent significant changes for a competitor: price drops/increases >10%, new promotions, stock-status flips. Returns a chronological alert feed with a summary. Configurable window (1-90 days, default 7). Included in RivalSweeper plans (developer API keys: 2 credits, no data = no charge).
  • request_missing_data_signal Tell RivalSweeper exactly what signal you need for a domain. We prioritize data collection based on demand. Use this when check_brand_data_coverage shows a signal is missing or when you need data we do not yet track. Free and non-billable.
  • request_new_brand_monitoring Ask RivalSweeper to add a domain to monitoring. Free; requires an active RivalSweeper plan or a developer account with a positive prepaid balance. First data typically lands within 24-72h.
  • list_my_tracked_brands The brands in your RivalSweeper account: your own site(s) and the rival brands you monitor, with status. Use it to see which domains the other tools can answer for.
  • get_cross_channel_ads_overview Cross-channel ads picture (Meta, Google and others) for your brand vs rivals: live and new ads, channel mix, coordinated pushes, gaps vs you, and prioritized insights with suggested actions.
  • get_brand_radar_assortment_gaps Weekly Brand Radar for your store vs rivals: brands you are missing (white space), where you lead (moat), depth gaps, price position and discount pressure per brand. For multi-brand retailers; returns no data for single-brand stores.
  • get_homepage_product_shelf_and_markdowns Which products each brand keeps on its homepage shelf and for how long (persistence, slots, best position), with price and markdown - a read on what brands are pushing. Window in days (7-365, default 90).
  • get_newly_published_products_and_pages Newly published products and pages per brand (from sitemaps), newest first, with type and tags. Default last 7 days, up to 50 rows (max 200).
  • get_technology_stack The software services each brand runs (analytics, marketing, payments, reviews, search, etc.) as detected by RivalSweeper.
  • get_email_newsletter_insights A brand's email newsletter patterns: cadence, send times, themes and offers, from RivalSweeper's newsletter tracking.
  • get_social_media_channels_and_followers Social network presence per brand: channels, followers and posting cadence.
  • get_competitor_moves_feed What your rivals changed, newest first: technology and providers, shipping, ads, marketing messages, AI citations, agent readiness, hiring, performance, bestsellers and more (RivalSweeper's Domain Moves feed). Default last 7 days.
  • get_predicted_competitor_moves RivalSweeper's weekly predictions of each tracked brand's likely next moves (e.g. a sale, a launch), with confidence, the evidence behind it, and a short narrative.
  • get_upcoming_events_news_and_activity Your dashboard agenda: upcoming holidays and retail events in the countries your brands ship to, news mentions (7 days) and recent catalog activity per brand.
  • get_my_rivalsweeper_todo_list Action items RivalSweeper raised for your team (e.g. fix a broken ad landing page, respond to a rival promotion), with priority, status, owner and due date. Default: pending items.
  • find_ads_with_broken_pages_or_expired_offers Ad & Deal Health: live ads that point to broken or out-of-stock pages, ads promoting expired offers, evergreen 'urgency' claims, and expired homepage banners. Checks your own store by default, or one named rival.
  • get_discount_frequency_and_depth How often and how deep each brand discounts: promo days vs observed days, average and max discount %, and promo types, over a window (7-365 days, default 30).
  • get_most_discounted_products A brand's most-discounted products right now (by % or amount) or its newest discounts, with price, full price and discount.
  • get_how_ai_models_describe_brand How large language models describe a brand when asked shopping questions, by aspect: brand_reputation, competitor_comparison, product_recommendation, brand_review, industry_landscape, brand_sentiment, recommendation_gap. RivalSweeper currently samples Google Gemini and OpenAI's open-weight GPT-OSS m
  • get_brand_swot_analysis RivalSweeper's SWOT analysis of a brand over time: strengths, weaknesses, opportunities and threats, and how they changed.
  • get_homepage_analysis RivalSweeper's analysis of a brand's homepage: what it features and emphasizes, offers and messaging, and how it compares with rivals.
  • get_product_page_analysis RivalSweeper's analysis of a brand's product pages: the tactics they use (content, imagery, trust signals, offers, cross-sell).
  • get_catalog_analysis RivalSweeper's analysis of a brand's product catalog: assortment, categories and pricing structure.
  • get_customer_reviews_analysis RivalSweeper's analysis of a brand's customer reviews: recurring themes, sentiment, praise and complaints.
  • get_ai_model_citation_rate Whether AI models cite each brand when answering shopping questions: citation rate overall and by AI platform, plus recent example queries and the cited URLs. RivalSweeper currently samples Google Gemini and OpenAI's open-weight GPT-OSS models.
  • get_ai_shopping_agent_checkout_race RivalSweeper's weekly race of AI shopping agents buying the same product from your store and rivals: which stores an agent could complete checkout on, where it got stuck, KPIs and findings.
  • get_job_openings_and_hiring_trends Open roles per brand by department and location, change vs last check, top job titles and newly added or removed jobs - an early read on where a rival is investing.

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