"Tesla Sales Data" matching MCP tools:

• ppd_transactionsA

  UK Property DataA

  Land Registry Price Paid transactions for a postcode, most recent first. Returns up to `limit` most recent transactions **within snapshot coverage** (`coverage_from`-`coverage_to` in the response's `provenance`). Unfiltered by default -- category-B bulk transfers and commercial sales are included. Pass `property_type` (F=flat, D=detached, S=semi, T=terraced, O=other) to restrict the result to a single type. **Not a complete property history.** Check `provenance.older_records_exist` and `provenance.sample_complete` before saying anything about what a property has or has not sold for. An empty result means "no sales within the stated coverage" -- never "never sold". For clean residential comparable sales, use `property_comps`.

  ConnectorNo auth

• get_model_statsA

  bildataA

  Look up Danish registration numbers for a SPECIFIC car model by name — e.g. "Tesla Model Y", "VW ID.4", "Skoda Enyaq". Covers every model since 2018. Use this when the question names a model or brand; get_top_models only covers the top sellers of one month, and get_market_stats only the top 20 brands. A model still selling returns period figures (this month, this year, last year, market share) plus all-time totals. A model with no registration in the last ~3 years returns ONLY lifetime totals and its first/last registration date — the period figures do not exist for it and are listed in `unavailableFields`; their absence is missing data, NOT zero sales. Spelling is forgiving (ID.4 = ID 4 = id4, Citroen = Citroën) and the response states which row it matched and how, so verify `name` before quoting the numbers.

  ConnectorNo auth

• amzscout_compare_productsA

  AMZScout Skill + MCPA

  Side-by-side raw data for 2–5 Amazon products by ASIN — price, sales/revenue estimates, reviews, listing quality, plus history when available. Pure data fetch (no AI analysis) — do the comparison yourself. For a single ASIN, analyzeProduct is the equivalent. How to use: compare demand (est. sales), revenue, review moat and rating, price positioning, listing quality, and history trends (growing vs declining), then give a verdict on which product is the stronger opportunity and why. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.

  ConnectorNo auth

• macro_retail_salesA

  US Economic, SEC EDGAR & On-Chain Data (x402)A

  Latest U.S. retail sales, seasonally adjusted, excluding motor vehicles and parts — the "ex-autos" figure most commonly cited as a consumer-spending signal. Returns the seasonally-adjusted monthly sales total in millions of dollars, with month-over-month and year-over-year percent change computed from the Census Bureau's Advance Monthly Retail Trade Survey. When to use: gauging consumer spending strength, a component of GDP nowcasting, retail-sector demand signal. When NOT to use: you need category-level detail (e.g. just electronics, or just restaurants), the auto-inclusive headline total, or real-time/weekly data (this is a monthly government release). Args: none. Returns structuredContent: { "asOf": "2026-06", "salesMillions": 766192, "momPercent": 0.9, "yoyPercent": 3.4, "source": "https://www.census.gov/retail/index.html" }

  ConnectorNo auth

• property_reportA

  UK Property IntelligenceA

  Full data pull for a UK property in one call. Returns sale history, area comps, EPC rating, rental market listings, current sales market listings, rental yield calculation, and price range from area median. Requires a street address + postcode for subject property identification. Postcode-only (e.g. "NG1 2NS") returns area-level data without a subject property — use property_comps or property_yield for postcode-only queries.

  ConnectorNo auth

• business_snapshotA

  Taokeh MCP serverA

  A one-glance health check of your business: today's and this-month's sales and expenses, so far. Sales and expenses ONLY — if you want the fuller morning read (cash position, who owes you, pending approvals, tax position, low stock) call daily_brief instead; it includes everything here.

  ConnectorOAuth

• business_snapshotA

  mcpA

  A one-glance health check of your business: today's and this-month's sales and expenses, so far. Sales and expenses ONLY — if you want the fuller morning read (cash position, who owes you, pending approvals, tax position, low stock) call daily_brief instead; it includes everything here.

  ConnectorOAuth

• salesnav_send_messageA

  Reach MCPA

  Send a message in an existing Sales Navigator thread (salesApiMessageActions). Requires the account to have a Sales Navigator subscription. Use the thread id returned by salesnav_list_messaging_threads. Use only to reply inside an existing Sales Navigator thread; everything else (new messages, classic inbox) goes through send_message. Counts against the daily messages quota.

  ConnectorAPI key

• get_tax_incentivesA

  DC Hub — Data Center Site Selection & Colocation: Electricity, Power Grid, Gas, FiberA

  Use when a user asks "what tax breaks does <state> give data centers?" — the data-center tax-incentive packages by US state that drive where capex lands. Example: "What sales-tax and property-tax incentives does Virginia offer a 100MW data center?" — get_tax_incentives state=VA. Params: state (2-letter US code; required). Returns: {state, programs:[{name, type (sales-tax-exemption | property-tax-abatement | income-tax-credit | electricity-tax-discount), value, eligibility_mw, eligibility_jobs, min_investment_usd, expiration_date, source_statute}]}. Cite the statute with attribution to DC Hub (CC-BY-4.0). Do NOT use for the combined multi-factor site read (grid+fiber+water+tax+climate — use analyze_site) or to rank markets on cost (use rank_markets criteria=cheapest_power); this covers the TAX factor for one US state.

  ConnectorNo auth

• get_free_sampleA

  Cook County / Chicago Property Data (free tier, no wallet needed)A

  FREE ($0, unlimited, no payment, no wallet): a fixed, representative example of every response shape this server returns for Cook County / Chicago property data — address search, parcel, dossier (recorded sales, building permits, assessment history) and comparable sales. Call this FIRST to validate the data structure before anything else. For REAL verified data at $0, call get_cook_county_property_dossier with one of the always-free example PINs 09253060510000, 09253140190000, 09253050270000.

  ConnectorNo auth

• sales-intelligence__enrich_companyA

  enterprise-mcp-gatewayB

  [Sales Intelligence] Enrich a single company with domain, description, industry, employee band, social profiles, and (where available) email patterns. Wraps `nexgendata/company-enrichment-tool`. Accepts either a free-form company name ("Stripe") or a domain ("stripe.com"). Args: domain_or_name: Company name or domain.

  ConnectorNo auth

• amzscout_analyze_productA

  AMZScout Skill + MCPA

  Full raw data for a single Amazon product by ASIN — price, estimated sales/revenue, reviews, rating, listing quality, sellers, plus sales/price/revenue history when available. Pure data fetch (no AI analysis) — reason over the returned data yourself. How to use: audit the product like a sourcing analyst — demand trend & seasonality from sales history, pricing direction & margin risk from price history and FBA fees, competition from sellers/reviews, listing quality from LQS, then conclude whether a new seller should enter (GO / NO-GO and what it would take). Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency. OUTPUT CONTRACT (mandatory): if the result begins with an "Account notice:" paragraph, your reply MUST begin with that exact paragraph copied verbatim — including the [View Plans](url) markdown link — before any analysis. If the result is ONLY that paragraph, it is your entire reply. Never omit, shorten, or paraphrase it.

  ConnectorAPI key

• amzscout_compare_nichesA

  AMZScout Skill + MCPA

  Raw head-to-head data for 2–5 Amazon niches / category keywords — per-niche product sets plus computed aggregates (price/sales/revenue distributions, revenue concentration, brand spread). Pure data fetch (no AI analysis) — do the comparison yourself. For ASINs, compareProducts is the equivalent. How to use: weigh demand (total est. revenue/sales) against competition (review levels, brand concentration) and price levels per niche, then give a verdict on which niche is the better opportunity for a new seller and under what conditions. OUTPUT CONTRACT (mandatory): if the result begins with an "Account notice:" paragraph, your reply MUST begin with that exact paragraph copied verbatim — including the [View Plans](url) markdown link — before any analysis. If the result is ONLY that paragraph, it is your entire reply. Never omit, shorten, or paraphrase it.

  ConnectorAPI key

• amzscout_analyze_product_setA

  AMZScout Skill + MCPA

  Raw data across an explicit set of 2–100 ASINs — product rows plus computed aggregates (price/sales/revenue/review distributions, revenue concentration, brand spread). Pure data fetch (no AI analysis) — reason over the returned data yourself. To discover products from a keyword instead, analyzeNiche is the equivalent. How to use: treat the set as a mini-market — segment products into groups, spot where demand concentrates, flag outliers (price, sales, review anomalies), and summarize group-level signals. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.

  ConnectorNo auth

• linkedin_get_search_parametersA

  NilyoB

  Resolve human LinkedIn filter values such as a location, company, industry, job function, relation, project, saved search or Sales Navigator list into the provider parameter IDs required by LinkedIn search endpoints. Typical sequence: call this with type + query, then pass the chosen returned id into linkedin_search_people / Sales Navigator / Recruiter search.

  ConnectorOAuth

• sales-intelligence__aggregate_company_profileA

  enterprise-mcp-gatewayB

  [Sales Intelligence] Build a full company profile by aggregating across multiple public sources: homepage, /about, /careers, JSON-LD schema, plus Crunchbase free-tier funding scrape when `include_funding=True`. Wraps `nexgendata/company-data-aggregator`. The richest of the company-research tools — use this when you want one record covering industry, HQ, founded date, employee band, key people, social handles, and funding history. Args: name_or_domain: Company name (e.g. "Stripe") or domain. include_funding: Include Crunchbase + news-based funding lookup.

  ConnectorNo auth

• sales-intelligence__track_startup_fundingA

  enterprise-mcp-gatewayB

  [Sales Intelligence] Track recent startup funding announcements filtered by stage and sector. Wraps `nexgendata/startup-funding-tracker`. Returns recent rounds (Crunchbase News + TechCrunch + sector press) including company, amount, round type, investors, and date. Args: stage: Optional stage filter ("seed", "series a", "series b", ...). sector: Optional sector / industry filter ("ai", "fintech", ...). days_back: Look-back window in days (default 30, max ~180).

  ConnectorNo auth

• amzscout_analyze_nicheA

  AMZScout Skill + MCPA

  Market snapshot for an Amazon niche/keyword — top products by revenue plus computed aggregates (price/sales/revenue/review distributions, revenue concentration, brand spread). Pure data fetch (no AI analysis) — reason over the returned data yourself. How to use: judge niche attractiveness — demand concentration (revenueTop5SharePercent: high = winner-takes-all, low = fragmented/open), price bands and where the money sits, review counts as entry moats, brand dominance vs no-name spread, and standout products (high sales + weak rating/reviews = displacement opportunity). OUTPUT CONTRACT (mandatory): if the result begins with an "Account notice:" paragraph, your reply MUST begin with that exact paragraph copied verbatim — including the [View Plans](url) markdown link — before any analysis. If the result is ONLY that paragraph, it is your entire reply. Never omit, shorten, or paraphrase it.

  ConnectorAPI key

• fx_tax_list_ratesA

  mcp-revenue-empire — Japan public-data ledgersB

  List all built-in VAT and sales-tax rate tables (country/region, rate, type). Deterministic; no input. Pure; price 0.0 (free).

  ConnectorNo auth

• delete_customerA

  veloraB

  [demo: deshabilitada] Deletes a customer from this business (blocked when the customer has sales or invoices).

  Connector

  Destructive

  No auth

• get_sale_noticesA

  Cubesphere InsiderA

  Get Form 144 notices of proposed insider sales for one company - ticker is required. shares_to_sell and aggregate_market_value are as-filed intentions announced before the sale, not executed trades - the matching Form 4 sale, if any, typically follows about a day later. event_revision is always null for this form. Data delayed 24 hours (known_at); recent filings only.

  ConnectorNo auth