MCP server

RivalSweeper Signals Official

com.rivalsweeper/signals

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

35 eCommerce competitor-intel tools: prices, promos, ads, AI visibility. Plan-included or prepaid.

Website

At a glance

Type

MCP server

Publisher

rivalsweeper.com (verified by the MCP Registry)

Status

Working at last check

Tools

37

Token cost

About 6,958 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http signals https://mcp.rivalsweeper.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.signals]
url = "https://mcp.rivalsweeper.com/mcp"

Gemini CLI

{"mcpServers":{"signals":{"httpUrl":"https://mcp.rivalsweeper.com/mcp"}}}

Cursor

{"mcpServers":{"signals":{"url":"https://mcp.rivalsweeper.com/mcp"}}}

VS Code

{"servers":{"signals":{"type":"http","url":"https://mcp.rivalsweeper.com/mcp"}}}

Antigravity

agy mcp add signals https://mcp.rivalsweeper.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"signals","server_url":"https://mcp.rivalsweeper.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"signals","server_url":"https://mcp.rivalsweeper.com/mcp"}

Tools

• check_brand_data_coverage ~145 tokens
  Check which competitive signals RivalSweeper has for an eCommerce domain, with per-signal freshness (for prices: when a price was last read, plus the share of priced records read in the last 7 days). Free and non-billable.
• find_ads_with_broken_pages_or_expired_offers ~180 tokens
  Ad & Deal Health, untrimmed: every live ad that points to a broken or out-of-stock page, promotes an expired offer, keeps an evergreen 'urgency' claim, or could not be checked, plus expired homepage banners, with the full ad text, links, landing check and product read. Checks your own store by defau
• find_closest_competitor_brands ~167 tokens
  The brand's last-known DNA competitor set: the closest competing brands RivalSweeper identified for a domain, each with name, website, country and match tier, plus the brand's own DNA profile. Freshness-stamped. Included in RivalSweeper plans (developer API keys: 2 credits, no data = no charge).
• get_active_promotions_and_coupons ~201 tokens
  Active promotions/discount codes for a brand: code, discount, terms, valid_until. Only live offers (expired and single-use codes left out). Each row says how it is known: verification = seen_on_brand_homepage (read off the brand's own homepage) or third_party_unverified (listed on public coupon site
• get_ai_agent_readiness_score ~158 tokens
  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_ai_model_citation_rate ~261 tokens
  Whether AI models mention each brand in their answers, split by question kind: brand_named = questions that name the brand ("What do you know about X?", "Compare X with its competitors": shows whether models know the brand, not whether they recommend it unprompted) and unbranded = shopping questions
• get_ai_shopping_agent_checkout_race ~101 tokens
  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_brand_price_statistics ~244 tokens
  Price statistics (min/max/avg/median) plus recent product samples for a brand, optionally filtered by product-name query. Freshness = when a price was last read; stats also give the share of products whose price was read in the last 7 days and the median read time, and a note flags catalogs where mo
• get_brand_radar_assortment_gaps ~149 tokens
  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_brand_swot_analysis ~124 tokens
  RivalSweeper's SWOT analysis of a brand over time: strengths, weaknesses, opportunities and threats, and how they changed.
• get_catalog_analysis ~116 tokens
  RivalSweeper's analysis of a brand's product catalog: assortment, categories and pricing structure.
• get_competitor_moves_feed ~202 tokens
  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_cross_channel_ads_overview ~202 tokens
  Cross-channel ads picture (Meta, Google and others) for your brand vs rivals: live and new ads, reach, channel mix, 12 weeks of launches per channel and placement, coordinated pushes, gaps vs you, the Google country matrix, Meta placement concentration, and prioritized insights with suggested action
• get_customer_reviews_analysis ~121 tokens
  RivalSweeper's analysis of a brand's customer reviews: recurring themes, sentiment, praise and complaints.
• get_discount_frequency_and_depth ~264 tokens
  How often and how deep each brand discounts, over a window (7-365 days, default 30), from two separate readings: homepage_banner = days a promotion banner was on the brand's homepage (read from our homepage captures; 'not_measured' when we hold no capture in the window), and product_markdowns = prod
• get_email_newsletter_insights ~124 tokens
  A brand's email newsletter patterns: cadence, send times, themes and offers, from RivalSweeper's newsletter tracking.
• get_full_brand_snapshot ~131 tokens
  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_google_ads_shopping_targeting_and_creatives ~326 tokens
  Everything on the app's Google Ads tab for your brand vs rivals, untrimmed: live, new and stopped ads, every country, Google Shopping, formats, targeting, creative freshness (median ad age, weekly series), all topics, where ads show, reach, alerts, advertiser accounts. Name exactly one brand to also
• get_homepage_analysis ~127 tokens
  RivalSweeper's analysis of a brand's homepage: what it features and emphasizes, offers and messaging, and how it compares with rivals.
• get_homepage_product_shelf_and_markdowns ~207 tokens
  Which products each brand keeps on its homepage and for how long (persistence = share of the observed days on the homepage, slots, best position), with price, currency and markdown, plus the categories it features - a read on what brands are pushing. Window in days (7-365, default 90).
• get_homepage_top_links ~219 tokens
  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_how_ai_models_describe_brand ~244 tokens
  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_job_openings_and_hiring_trends ~156 tokens
  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.
• get_meta_ads_reach_messages_and_landing_pages ~494 tokens
  Everything on the app's Meta Ads tab for your brand vs rivals, untrimmed: reach (accounts that saw the ads, UK/EU only) and reach by market, all top ads by reach and by days running plus ended long-runners (full copy, links), hook angles with what each brand tests vs funds, hooks by country with eve
• get_most_discounted_products ~188 tokens
  A brand's most-discounted products right now (by % or amount) or its newest discounts, with price, full price and discount.
• get_my_rivalsweeper_todo_list ~167 tokens
  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.
• get_my_usage_and_plan ~167 tokens
  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_newly_published_products_and_pages ~319 tokens
  Products and pages RivalSweeper first found on each brand's site (sitemaps and catalog feeds) in the last N days, newest first, interleaved across brands. Shopify variant URLs are folded into their product, and a product that only gained new sizes/colours is labelled so. Each item has its tags (name
• get_predicted_competitor_moves ~93 tokens
  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_product_page_analysis ~126 tokens
  RivalSweeper's analysis of a brand's product pages: the tactics they use (content, imagery, trust signals, offers, cross-sell).
• get_significant_competitor_changes ~196 tokens
  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).
• get_social_media_channels_and_followers ~132 tokens
  Social network presence per brand: channels, followers and posting cadence.
• get_technology_stack ~288 tokens
  The technology each brand runs, per brand: e-commerce platform first, then payments, cross-border, email/SMS, reviews and loyalty, search and personalisation, customer service, shipping, analytics, advertising, consent/security and infrastructure, each with its category names. Social networks the si
• get_upcoming_events_news_and_activity ~155 tokens
  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.
• list_my_tracked_brands ~86 tokens
  The brands in your RivalSweeper account: your own site(s) and the rival brands you monitor, with status: the domains this connector can answer for.
• request_missing_data_signal ~208 tokens
  Tell RivalSweeper exactly what signal you need for a domain. For a signal that is missing for a domain or that RivalSweeper does not track yet. We prioritize data collection based on demand. Free and non-billable.
• request_new_brand_monitoring ~170 tokens
  Add a rival domain to monitoring. Signed in with RivalSweeper: adds it to your monitored rivals right away (company Admins only; your plan or trial domain limit applies), with first data within about 24h. Developer API keys: queues a monitoring request (needs a positive prepaid balance; first data i

Browse

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