RivalSweeper Signals
REMOTE · MCP.RIVALSWEEPER.COM
37 eCommerce competitor-intel tools: prices, promos, ads, AI visibility. Plan-included or prepaid.
Available components
Last scanned (2 hours ago)
Scores higher than 84% of remote servers
Reachable. Last reached 5 Nov 2026.
Category E-commerce
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security97
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation is enforced on tool calls, advertised via RFC 9728 protected-resource metadata. Discovery is public, which costs nothing: no tool can be invoked without a token. View diagnostics → Pass
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC is configured correctly; the domain's records validate against the full chain to the root. View diagnostics → Pass
- The authorisation server offers only Dynamic Client Registration (RFC 7591), which MCP 2026-07-28 deprecated in favour of Client ID Metadata Documents. View diagnostics → Partial
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability82
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 4195 tokens (~113/item across 37 items; 37 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability check failed: schema churn in the 30 days we've observed: 10 tool removals, 0 breaking changes, 0 auth/transport breaks, 37 additions. See how to fix → Fail
Tool Coverage96
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 87% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 37 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 38 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 2 Nov 26 0
- Tool “check_brand_data_coverage” rewrote its description, which is the text the model reads security
- Tool “get_competitor_moves_feed” rewrote its description, which is the text the model reads security
- 1 Nov 26 0
- Tool “check_brand_data_coverage” rewrote its description, which is the text the model reads security
- Server version: 1.0.0 → 1.8.0 functional
- 30 Oct 26 0
- Tool “get_predicted_competitor_moves” rewrote its description, which is the text the model reads security
- 27 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Tool “check_brand_data_coverage” rewrote its description, which is the text the model reads security
- Tool “find_closest_competitor_brands” rewrote its description, which is the text the model reads security
- Tool “get_active_promotions_and_coupons” rewrote its description, which is the text the model reads security
- Tool “get_ai_model_citation_rate” rewrote its description, which is the text the model reads security
- Tool “get_brand_price_statistics” rewrote its description, which is the text the model reads security
- Tool “get_discount_frequency_and_depth” rewrote its description, which is the text the model reads security
- Tool “get_homepage_product_shelf_and_markdowns” rewrote its description, which is the text the model reads security
- Tool “list_my_tracked_brands” rewrote its description, which is the text the model reads security
- Tool “request_missing_data_signal” rewrote its description, which is the text the model reads security
- “get_most_discounted_products” reworded the description of “limit” cosmetic
- 26 Oct 26 0
- Tool “get_meta_ads_reach_messages_and_landing_pages” rewrote its description, which is the text the model reads security
- Tool “get_newly_published_products_and_pages” rewrote its description, which is the text the model reads security
- Tool “get_technology_stack” rewrote its description, which is the text the model reads security
- Schema quality: pass → fail ▼ functional
- “get_technology_stack” added an optional parameter “max_per_brand” cosmetic
- 22 Oct 26 0
- Tool “find_ads_with_broken_pages_or_expired_offers” rewrote its description, which is the text the model reads security
- Tool “get_cross_channel_ads_overview” rewrote its description, which is the text the model reads security
- Schema quality: 87 → 96 ▼ functional
- New tool “get_google_ads_shopping_targeting_and_creatives” functional
- New tool “get_meta_ads_reach_messages_and_landing_pages” functional
- 19 Oct 26 0
- Tool “request_new_brand_monitoring” rewrote its description, which is the text the model reads security
- 13 Oct 26 −15
- Stability: pass → fail ▼ security
- A breaking change shipped without a version bump: still 1.0.0 ▼ security
- Tool “get_api_usage” was removed ▼ security
- Tool “get_brand_snapshot” was removed ▼ security
- Tool “get_competitor_alerts” was removed ▼ security
- Tool “get_competitor_price” was removed ▼ security
- Tool “get_competitor_top_urls” was removed ▼ security
- Tool “get_coverage” was removed ▼ security
- Tool “get_dna_competitors” was removed ▼ security
- Tool “get_domain_changes” was removed ▼ security
- Tool “get_history” was removed ▼ security
- Tool “get_promotions” was removed ▼ security
- Tool “get_readiness_score” was removed ▼ security
- Tool “request_monitoring” was removed ▼ security
- Tool “submit_data_request” was removed ▼ security
- The server rewrote its instructions, which are the text every model session reads security
- Tool coverage: 100% → 83% ▼ functional
- Schema quality: fail → pass ▲ functional
- New tool “check_brand_data_coverage” functional
- New tool “find_ads_with_broken_pages_or_expired_offers” functional
- New tool “find_closest_competitor_brands” functional
- New tool “get_active_promotions_and_coupons” functional
- New tool “get_ai_agent_readiness_score” functional
- New tool “get_ai_model_citation_rate” functional
- New tool “get_ai_shopping_agent_checkout_race” functional
- New tool “get_brand_price_statistics” functional
- New tool “get_brand_radar_assortment_gaps” functional
- New tool “get_brand_swot_analysis” functional
- New tool “get_catalog_analysis” functional
- New tool “get_competitor_moves_feed” functional
- New tool “get_cross_channel_ads_overview” functional
- New tool “get_customer_reviews_analysis” functional
- New tool “get_discount_frequency_and_depth” functional
- New tool “get_email_newsletter_insights” functional
- New tool “get_full_brand_snapshot” functional
- New tool “get_homepage_analysis” functional
- New tool “get_homepage_product_shelf_and_markdowns” functional
- New tool “get_homepage_top_links” functional
- New tool “get_how_ai_models_describe_brand” functional
- New tool “get_job_openings_and_hiring_trends” functional
- New tool “get_most_discounted_products” functional
- New tool “get_my_rivalsweeper_todo_list” functional
- New tool “get_my_usage_and_plan” functional
- New tool “get_newly_published_products_and_pages” functional
- New tool “get_predicted_competitor_moves” functional
- New tool “get_product_page_analysis” functional
- New tool “get_significant_competitor_changes” functional
- New tool “get_social_media_channels_and_followers” functional
- New tool “get_technology_stack” functional
- New tool “get_upcoming_events_news_and_activity” functional
- New tool “list_my_tracked_brands” functional
- New tool “request_missing_data_signal” functional
- New tool “request_new_brand_monitoring” functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://mcp.rivalsweeper.com/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=rivalsweeper.com | CN=WE1,O=Google Trust Services,C=US | 29 Sept 2026 | 28 Dec 2026 | ECDSA 256 | ECDSA-SHA256 | 2525cb1083367700e4e0b2eb885f053 |
| SANs: rivalsweeper.com, *.rivalsweeper.com | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC secure
Validation of mcp.rivalsweeper.com. — Secure
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| rivalsweeper.com. | present | 2371 | 13 | Verified |
| mcp.rivalsweeper.com. | Verified address RRset verified with the apex keys |
Authentication Enforced and verified
The endpoint asked for a token and published valid RFC 9728 metadata describing how to get one.
| Result | Enforced and verified |
|---|---|
| Enforced | On tool calls |
| HTTP status | 200 |
WWW-Authenticate challenge Bearer resource_metadata="https://mcp.rivalsweeper.com/.well-known/oauth-protected-resource/mcp", scope="signals"
Bearer resource_metadata="https://mcp.rivalsweeper.com/.well-known/oauth-protected-resource/mcp", scope="signals" | Header | Value |
|---|---|
| strict-transport-security | max-age=63072000; includeSubDomains; preload |
| x-content-type-options | nosniff |
Protected resource metadata
| Document | https://mcp.rivalsweeper.com/.well-known/oauth-protected-resource/mcp |
|---|---|
| Retrieved | Yes |
| Resource | https://mcp.rivalsweeper.com/mcp |
| Authorisation server | https://mcp.rivalsweeper.com |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://mcp.rivalsweeper.com/mcp | Verified | 200 | |
| http (plaintext) | http://mcp.rivalsweeper.com/mcp | HTTPS enforced | 301 | https://mcp.rivalsweeper.com/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
check_brand_data_coverage Signal coverage for a domain (free) ~143
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 products read in the last 7 days; records counts products, each product once however many variant rows it has; for large catalogs these come from a sample and are marked records_approximate). A signal is available exactly when its tool has data: promotions counts the live offers get_active_promotions_and_coupons returns, prices follow get_brand_price_statistics. Free and non-billable.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | eCommerce domain, e.g. gymshark.com |
No output schema declared.
No examples provided.
find_ads_with_broken_pages_or_expired_offers Ad & Deal Health ~110
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 default, or one named rival.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | – | One brand domain from your account; omit for your own store |
No output schema declared.
No examples provided.
find_closest_competitor_brands DNA competitors for a brand ~98
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).
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | eCommerce domain, e.g. gymshark.com |
No output schema declared.
No examples provided.
get_active_promotions_and_coupons Active promotions ~121
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 sites, not tested at checkout). Freshness-stamped. Included in RivalSweeper plans (developer API keys: 1 credit, no data = no charge).
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | eCommerce domain |
No output schema declared.
No examples provided.
get_ai_agent_readiness_score AI-readiness score ~90
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).
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | Domain to score |
No output schema declared.
No examples provided.
get_ai_model_citation_rate AI citations ~153
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 that do not name it (the recommendation test). Each with rate, by model (and the platform serving it), and recent examples. Our own prompt-generation queries (keyword and shopper-question lists) are not citation tests and are left out.
| Name | Type | Req | Description |
|---|---|---|---|
| domains | array | – | Brand domains from your RivalSweeper account, e.g. ["gymshark.com"]. Omit for all your tracked brands. |
No output schema declared.
No examples provided.
get_ai_shopping_agent_checkout_race Agent Checkout Race ~53
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_brand_price_statistics Competitor pricing ~140
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 most prices are older. Included in RivalSweeper plans (developer API keys: 1 credit, no data = no charge).
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | eCommerce domain |
| limit | integer | – | Sample size, default 10 |
| query | string | – | Optional product-name filter, e.g. "leggings" |
No output schema declared.
No examples provided.
get_brand_radar_assortment_gaps Brand Radar (house-of-brands stores) ~82
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.
| Name | Type | Req | Description |
|---|---|---|---|
| owned_domain | string | – | Your own store domain, if you have more than one |
No output schema declared.
No examples provided.
get_brand_swot_analysis Brand SWOT analysis ~60
RivalSweeper's SWOT analysis of a brand over time: strengths, weaknesses, opportunities and threats, and how they changed.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | A brand domain from your RivalSweeper account, e.g. gymshark.com |
No output schema declared.
No examples provided.
get_catalog_analysis Catalog analysis ~52
RivalSweeper's analysis of a brand's product catalog: assortment, categories and pricing structure.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | A brand domain from your RivalSweeper account, e.g. gymshark.com |
No output schema declared.
No examples provided.
get_competitor_moves_feed Competitor moves ~136
What your rivals changed, newest first: technology and providers, shipping, ads, marketing messages, AI citations, agent readiness, hiring, performance, bestsellers, Terms / privacy / return / shipping policy and other info page changes (type 'Content Pages', with the number of changes per page), and more (RivalSweeper's Domain Moves feed). Default last 7 days.
| Name | Type | Req | Description |
|---|---|---|---|
| days | integer | – | – |
| domains | array | – | Brand domains from your RivalSweeper account, e.g. ["gymshark.com"]. Omit for all your tracked brands. |
| limit | integer | – | – |
No output schema declared.
No examples provided.
get_cross_channel_ads_overview Ads overview across channels ~110
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 actions. Full data, nothing trimmed.
| Name | Type | Req | Description |
|---|---|---|---|
| domains | array | – | Brand domains from your RivalSweeper account, e.g. ["gymshark.com"]. Omit for all your tracked brands. |
No output schema declared.
No examples provided.
get_customer_reviews_analysis Customer reviews analysis ~55
RivalSweeper's analysis of a brand's customer reviews: recurring themes, sentiment, praise and complaints.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | A brand domain from your RivalSweeper account, e.g. gymshark.com |
No output schema declared.
No examples provided.
get_discount_frequency_and_depth Discount posture ~157
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 = products whose price, read in the window, is below their full price, with average and max markdown %, in one store and currency per brand. A brand can run product markdowns with no homepage banner.
| Name | Type | Req | Description |
|---|---|---|---|
| days | integer | – | – |
| domains | array | – | Brand domains from your RivalSweeper account, e.g. ["gymshark.com"]. Omit for all your tracked brands. |
No output schema declared.
No examples provided.
get_email_newsletter_insights Newsletter insights ~60
A brand's email newsletter patterns: cadence, send times, themes and offers, from RivalSweeper's newsletter tracking.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | A brand domain from your RivalSweeper account, e.g. gymshark.com |
No output schema declared.
No examples provided.
get_full_brand_snapshot Full brand snapshot ~66
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).
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | eCommerce domain |
No output schema declared.
No examples provided.
get_google_ads_shopping_targeting_and_creatives Google ads: Shopping, targeting, freshness and creatives ~201
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 its Google creatives, 200 per page (creatives_offset for the next page; `total` tells how many exist). Up to 6 brands per call.
| Name | Type | Req | Description |
|---|---|---|---|
| country | string | – | Optional ISO country code to focus on one market, e.g. "DE". |
| creatives_offset | integer | – | With one brand: skip this many creatives (pages of 200). Default 0. |
| domains | array | – | Up to 6 brand domains from your RivalSweeper account. Omit for your own store plus your first tracked rivals. Name exactly one to include its creatives. |
No output schema declared.
No examples provided.
get_homepage_analysis Homepage analysis ~62
RivalSweeper's analysis of a brand's homepage: what it features and emphasizes, offers and messaging, and how it compares with rivals.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | A brand domain from your RivalSweeper account, e.g. gymshark.com |
No output schema declared.
No examples provided.
get_homepage_product_shelf_and_markdowns Shelf posture (homepage persistence & markdowns) ~117
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).
| Name | Type | Req | Description |
|---|---|---|---|
| days | integer | – | – |
| domains | array | – | Brand domains from your RivalSweeper account, e.g. ["gymshark.com"]. Omit for all your tracked brands. |
No output schema declared.
No examples provided.
get_homepage_top_links A brand's homepage top links, grouped by type ~137
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 last update. A top-level 'comment' flags when pricing and/or stock status are not captured for the domain. Included in RivalSweeper plans (developer API keys: 2 credits, no data = no charge).
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | eCommerce domain, e.g. connox.com |
No output schema declared.
No examples provided.
get_how_ai_models_describe_brand AI visibility (how AI models describe a brand) ~110
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 models.
| Name | Type | Req | Description |
|---|---|---|---|
| aspect | string | yes | Which AI-visibility view |
| domain | string | yes | A brand domain from your RivalSweeper account, e.g. gymshark.com |
No output schema declared.
No examples provided.
get_job_openings_and_hiring_trends Hiring signals ~81
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.
| Name | Type | Req | Description |
|---|---|---|---|
| domains | array | – | Brand domains from your RivalSweeper account, e.g. ["gymshark.com"]. Omit for all your tracked brands. |
No output schema declared.
No examples provided.
get_meta_ads_reach_messages_and_landing_pages Meta ads: reach, messages, offers and landing pages ~314
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 every angle count, the punch of each analysed ad read from the creative itself (image, carousel cards or the whole video with its sound: the idea that stops the scroll, on-screen text, first words spoken, format, references) with context only where a source is linked (calendar event named in the ad, a page about the reference) and what each brand tests vs funds per punch type, offers and codes, CTA mix, formats, languages, creators, new promoters, campaign tags, sites and every promoted page (name, price, stock, category, live ads, reach, broken links). Up to 6 brands per call.
| Name | Type | Req | Description |
|---|---|---|---|
| domains | array | – | Up to 6 brand domains from your RivalSweeper account, e.g. ["esteelauder.com","charlottetilbury.com"]. Omit for your own store plus your first tracked rivals. |
| sections | array | – | Optional: return only these parts (everything is returned when omitted). The full answer for several brands is large (about 25k tokens per 2 brands): ask for the sections you need, or fewer brands pe… |
No output schema declared.
No examples provided.
get_most_discounted_products Top discounted products ~80
A brand's most-discounted products right now (by % or amount) or its newest discounts, with price, full price and discount.
| Name | Type | Req | Description |
|---|---|---|---|
| domains | array | yes | 1-10 brand domains from your account |
| limit | integer | – | Products per brand, default 20 |
| sort | string | – | Default percent |
No output schema declared.
No examples provided.
get_my_rivalsweeper_todo_list Your RivalSweeper to-dos ~78
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.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| status | array | – | Statuses to include, default ["pending"] |
No output schema declared.
No examples provided.
get_my_usage_and_plan Your usage and plan status (free) ~93
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.
| Name | Type | Req | Description |
|---|---|---|---|
| days | integer | – | Look-back window in days, default 30 |
No output schema declared.
No examples provided.
get_newly_published_products_and_pages New products & pages ~204
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 (names), first_seen (when RivalSweeper first found it: usually within a day of publication, not the brand's own publish date) and sitemap_lastmod when the sitemap gives one; per-brand counts come first. Pages found in a brand's first days of tracking are left out (they existed before). Default last 7 days, up to 50 items (max 200).
| Name | Type | Req | Description |
|---|---|---|---|
| days | integer | – | – |
| domains | array | – | Brand domains from your RivalSweeper account, e.g. ["gymshark.com"]. Omit for all your tracked brands. |
| limit | integer | – | – |
No output schema declared.
No examples provided.
get_predicted_competitor_moves Predicted rival moves ~81
RivalSweeper's weekly prediction cards for each tracked rival, as on the Predictions page: what just happened, what is coming up (e.g. Black Friday on last year's timing) and where their ads outpace you. Each card has the why, a suggested move with its date, and dated proof (receipts, article links).
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_product_page_analysis Product page analysis ~64
RivalSweeper's analysis of a brand's product pages: the tactics they use (content, imagery, trust signals, offers, cross-sell).
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | A brand domain from your RivalSweeper account, e.g. gymshark.com |
No output schema declared.
No examples provided.
get_significant_competitor_changes Significant competitor changes ~111
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).
| Name | Type | Req | Description |
|---|---|---|---|
| days | integer | – | Look-back window in days, default 7 |
| domain | string | yes | eCommerce domain, e.g. gymshark.com |
No output schema declared.
No examples provided.
get_social_media_channels_and_followers Social channels ~58
Social network presence per brand: channels, followers and posting cadence.
| Name | Type | Req | Description |
|---|---|---|---|
| domains | array | – | Brand domains from your RivalSweeper account, e.g. ["gymshark.com"]. Omit for all your tracked brands. |
No output schema declared.
No examples provided.
get_technology_stack Technology stack ~168
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 site links to are listed apart (a profile link is not a tool the store runs). Up to 40 technologies per brand by default (max_per_brand up to 200); the count left out is stated per brand.
| Name | Type | Req | Description |
|---|---|---|---|
| domains | array | – | Brand domains from your RivalSweeper account, e.g. ["gymshark.com"]. Omit for all your tracked brands. |
| max_per_brand | integer | – | Technologies listed per brand (default 40). The rest are counted, not listed. |
No output schema declared.
No examples provided.
get_upcoming_events_news_and_activity Upcoming events & recent activity ~75
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.
| Name | Type | Req | Description |
|---|---|---|---|
| domains | array | – | Brand domains from your RivalSweeper account, e.g. ["gymshark.com"]. Omit for all your tracked brands. |
No output schema declared.
No examples provided.
list_my_tracked_brands Your tracked brands ~44
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
request_missing_data_signal Request a specific signal for a domain (free) ~118
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.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | Domain you need data for |
| note | string | – | Optional context: what you plan to do with this data |
| signal | string | yes | What signal you need, e.g. "pricing", "promotions", "readiness", "catalog", "news" |
No output schema declared.
No examples provided.
request_new_brand_monitoring Request monitoring for a new domain (free, gated) ~93
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 in 24-72h). Free.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | Domain to start monitoring |
No output schema declared.
No examples provided.
How do I install the RivalSweeper Signals MCP server?
RivalSweeper Signals is a hosted endpoint at https://mcp.rivalsweeper.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · mcp.rivalsweeper.com
claude mcp add --transport http com-rivalsweeper-signals 'https://mcp.rivalsweeper.com/mcp'
What is the RivalSweeper Signals MCP server?
RivalSweeper Signals is an MCP server listed in the public MCP registry as com.rivalsweeper/signals. 37 eCommerce competitor-intel tools: prices, promos, ads, AI visibility. Plan-included or prepaid. This page covers its hosted endpoint (https://mcp.rivalsweeper.com/mcp).
Is the RivalSweeper Signals MCP server safe to use?
RivalSweeper Signals scores 81 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the RivalSweeper Signals MCP server expose?
RivalSweeper Signals exposes 37 tools: check_brand_data_coverage, get_active_promotions_and_coupons, get_brand_price_statistics, find_closest_competitor_brands, get_homepage_top_links, and 32 more. Their descriptions and schemas cost roughly 3,975 tokens of context every time the server is loaded.
Does the RivalSweeper Signals MCP server require authentication?
Yes. RivalSweeper Signals asked us for credentials when we connected, so you will need to authorise it in your MCP client before it can do anything.
Is the RivalSweeper Signals MCP server still maintained?
RivalSweeper Signals is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.