"Ford" matching MCP tools:

• sheet_readA

  SumOffice — real Word and Excel for agentsA

  Read a rectangular range like A1:F20 (max 60 rows × 26 columns): values and formulas. Empty cells are omitted. ALWAYS pass "sheet" with the exact tab name when the workbook has more than one sheet — without it you read whichever sheet happens to be open, and the answer will quietly be about the wrong sheet. Call sheet_describe first if you do not know the tab names.

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• resolve_vehicleA

  Wrench.Pro Vehicle CheckA

  Use FIRST whenever the user names a vehicle ('2017 Ford Escape', "'17 F150", 'my Honda Civic') unless you already have exact slugs from a previous call. Pass the user's words in `query`. Returns kind=exact (use the returned slugs), suggest (ask the user to confirm one), needsYear (ask ONE question listing availableYears), needsModel, or notFound (say Wrench.Pro doesn't cover it — never guess).

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• get_product_recallsA

  KeyVexA

  Returns safety recalls from federal agencies — drug recalls (FDA), medical device recalls (FDA), food/dietary supplement recalls (FDA), consumer-product recalls (CPSC), and vehicle, equipment, tire and child-restraint recall campaigns (NHTSA, since 1966). Use this when the user asks about: recent recalls for a specific company or product, FDA Class I (most severe) recalls, food contamination recalls, drug shortages and recalls, vehicle recalls by make or model (e.g. all Ford F-150 recalls), or to add a 'product-safety event' flag to insider activity / 8-K filings / enforcement actions. Sources (filter via the `source` enum): fda_drug — openFDA /drug/enforcement.json. Drug recalls including prescription, OTC, biologics. Class I/II/III severity. fda_device — openFDA /device/enforcement.json. Medical device recalls (implants, diagnostics, equipment, software). Same classification scheme. fda_food — openFDA /food/enforcement.json. Food + dietary supplements. Pathogen contamination, allergen mislabeling, etc. cpsc — saferproducts.gov RestWebServices/Recall. Consumer-product recalls (clothing, electronics, toys, batteries, etc.). No severity classification; classification field is null. nhtsa — NHTSA recall campaigns from NHTSA's flat files, updated daily. One row per campaign (recall_number = NHTSA's campaign number, e.g. '26V652000'); recalling_firm = the manufacturer that filed the defect report; product_description = NHTSA's defect summary; reason_for_recall = its consequence; remedy and notes as NHTSA writes them. Consumer advisories first: do_not_drive (NHTSA advises owners not to drive the vehicle until it is repaired) and park_outside (park outside, away from structures: fire risk); null on campaigns that predate the advisories. product_quantity is NHTSA's potential units affected (null when not stated); vehicle_model_year_count is the number of distinct make/model/year combinations, not units. makes lists up to 20 makes ('+N more' beyond). A campaign's full vehicle list comes only with source=nhtsa + recall_number: `vehicles` (500 per page, by make / model / year), `vehicles_total`, and `vehicles_next_cursor` (pass it back as vehicles_cursor). classification and status are null (NHTSA uses neither). A campaign NHTSA's file stops listing keeps its row: nhtsa_listing says 'no longer listed by NHTSA' and nhtsa_unlisted_since is the date KeyVex first observed it missing (NHTSA publishes no removal date or reason); both are null while NHTSA lists it. Source: NHTSA Office of Defects Investigation; public domain (http://www.usa.gov/publicdomain/label/1.0/). Cross-source pairing pattern: Recall → 8-K Item 7.01/8.01: pair with get_material_events Recall → insider sells: pair with get_insider_transactions Recall → SEC/DOJ follow-on: pair with get_enforcement_actions Recall → company filings: pair with get_proxy_filings (DEF 14A risk factors) Each record is one recall. Identifier format: `{source}-{recall_number}` (e.g., 'fda_drug-D-1234-2026'). FDA classifications: Class I — serious adverse health consequence or death Class II — temporary or reversible health consequence Class III — unlikely to cause adverse health consequence Source freshness (per-source publication cadence, not KeyVex bug): CPSC publishes within ~1-2 days; recent data flows hourly-fresh. openFDA's snapshot updates every ~10-14 days, and each snapshot carries recall_initiation_date values that LAG the snapshot date by another 30-45 days (the time between FDA classifying a recall and openFDA exposing it). Net: FDA records in this collection typically run ~4-6 weeks behind real-world recall dates, while CPSC is current. A default desc-by-date sort therefore looks CPSC-heavy at the top even when FDA matters more for the query. Filter by source='fda_*' to see FDA-only and avoid the skew. Searching recalling_firm / product_description: case-insensitive; 4+ characters match anywhere, 1-3 characters match a whole word ('3M', 'GE'). A term of 3+ characters searches EVERY recall; a 1-2 character term searches only the newest 5,000 recalls the query's other filters select (the oldest, with sort_order=asc), and coverage_warning says so. Vehicle filters (vehicle_make, vehicle_model) match NHTSA campaigns only, through their vehicles: vehicle_make is the exact make, case- and space-insensitive ('ford' = 'FORD'); vehicle_model follows the search rule above (3+ characters search every campaign; 1-2 characters the newest 5,000). classification filter scope: 'classification' is an FDA-only field. CPSC and NHTSA records always have classification=null (neither uses the FDA severity scheme). Filtering by classification excludes ALL CPSC and NHTSA rows by definition. The query response surfaces this with a notice in coverage_warning when the filter is set.

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• fabrement-update-cf7-formA

  FabrementA

  Update a Contact Form 7 form — send only what changes. `template` REPLACES the form body whole and re-derives the mail from the tags in it, so edit the markup get-cf7-form returns rather than sending a fragment: what you leave out is gone. `messages` patches only the keys sent ("" resets one to the default). get-cf7-form first. Rules: get-skill-doc {id:"forms-contract"} — read it before the first call.

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• search_vehiclesA

  PegaRexA

  Search 1.8M+ Brazilian vehicle listings aggregated from 96 platforms (OLX, Webmotors, Napista, etc.). Returns listings with price, year, mileage, location, source platform, the original ad URL, FIPE reference price and a deal_score (% vs FIPE; negative means priced below FIPE). A car listed on several sites comes back once (vehicle_sites says how many sites carry it); filtering by `source` returns that site's own ads instead. price_kind is set when the asking price is not the car's sale price ("installment": a monthly installment or down payment posted as the price; "equity": ágio, the buyer takes over a financing; "suspect" / "outlier_high": check the ad) — never present such a price as a bargain. Tips for best results: - Free-text `query` matches the listing TITLE only (e.g. "Onix LTZ turbo"). It needs at least one word of 3+ characters: "Ford Ka", not "Ka" alone. - For exact brand/model/version filtering, resolve names to ids first with list_brands / list_models / list_versions and pass brand_id/model_id/ version_id — it is faster and more accurate than the text fields. - `location` is a 2-letter UF (e.g. "SP") or a city name. - `sort_by="newest"` (default) lists the most recently LISTED cars first — the date a listing first appeared on its source, not when we last saw it. - `sort_by="best_deal"` ranks by lowest price-to-FIPE ratio. - `per_page` is capped at 50. Use `page` (1-20) to paginate; past the first 20 pages, narrow the search with filters. `total_count` and `total_pages` are returned.

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• search_vehiclesA

  PegaRexA

  Search 1.8M+ Brazilian vehicle listings aggregated from 96 platforms (OLX, Webmotors, Napista, etc.). Returns listings with price, year, mileage, location, source platform, the original ad URL, FIPE reference price and a deal_score (% vs FIPE; negative means priced below FIPE). A car listed on several sites comes back once (vehicle_sites says how many sites carry it); filtering by `source` returns that site's own ads instead. price_kind is set when the asking price is not the car's sale price ("installment": a monthly installment or down payment posted as the price; "equity": ágio, the buyer takes over a financing; "suspect" / "outlier_high": check the ad) — never present such a price as a bargain. Tips for best results: - Free-text `query` matches the listing TITLE only (e.g. "Onix LTZ turbo"). It needs at least one word of 3+ characters: "Ford Ka", not "Ka" alone. - For exact brand/model/version filtering, resolve names to ids first with list_brands / list_models / list_versions and pass brand_id/model_id/ version_id — it is faster and more accurate than the text fields. - `location` is a 2-letter UF (e.g. "SP") or a city name. - `sort_by="newest"` (default) lists the most recently LISTED cars first — the date a listing first appeared on its source, not when we last saw it. - `sort_by="best_deal"` ranks by lowest price-to-FIPE ratio. - `per_page` is capped at 50. Use `page` (1-20) to paginate; past the first 20 pages, narrow the search with filters. `total_count` and `total_pages` are returned.

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• get_registration_statementsA

  KeyVexA

  Returns SEC Form S-1 / S-3 / S-3ASR registration statements — securities offering registrations filed with the SEC. Use this when the user asks about: which companies are going public (IPO pipeline via S-1), shelf registrations (S-3 / S-3ASR — company registers securities to sell over multiple offerings without re-registering; large established issuers use the automatic S-3ASR variant), recent secondary offerings, registration amendments updating prior filings, or to bridge from a company name / ticker to the prospectus prose. Forms covered: S-1 — Initial registration (IPO + first-time registrants) S-1/A — Amendment to an S-1 S-3 — Shelf registration (issuers meeting reporting / market-cap criteria; lets them issue securities over time without re-registering each time) S-3/A — Amendment to an S-3 S-3ASR — Automatic shelf registration. The shelf form used by Well-Known Seasoned Issuers (large established companies like Apple, Ford, most of the S&P 500). Effective on filing. These issuers file S-3ASR, NOT plain S-3. Source: SEC EDGAR full-text search. Returns one record per filing, deduped by accession. Exhibit attachments (EX-10, opinion letters, fee tables, etc.) are filtered out — only the canonical form types are returned. v1A is metadata only. Each record has filer name + CIK + optional ticker + SEC file_number, state, SIC code(s), and URLs. Substantive prospectus content (offering size, share counts, use of proceeds, risk factors, financial statements) lives at primary_document_url — agents follow for the prose. SCOPE — covers S-1 (IPO), S-3 + S-3ASR (shelf, including WKSI auto shelves), plus /A amendments. S-8 employee-benefit-plan registrations, S-4 merger/acquisition registrations, and F-series foreign-issuer forms are NOT ingested. 424B prospectus supplements (offering takedowns off an existing shelf) are out of scope — query the shelf registration itself. Amendment chains: all amendments share the same sec_file_number as the original. Use sec_file_number filter to fetch an entire amendment chain. Pure-publisher posture: KeyVex doesn't derive 'likely-to-IPO' or 'price-target' signals from registration filings.

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• get_recallsA

  DataPoriumA

  Recalls of vehicles and consumer products, vehicle crash test ratings, vehicle owner complaints, trucking carrier safety, and workplace safety, environmental compliance and greenhouse gas emissions of facilities and listed companies (official public data). Vehicle recalls since 1966 (cars, trucks, motorcycles, RVs, and also tires, child car seats and vehicle equipment), consumer product recalls since the 1970s, owner complaints since 1995. view "recalls" (default): recalls, newest first: date, title, manufacturer and its ticker, units affected, hazard group, makes and model years or product type. Filter by ticker (e.g. F, GM, TSLA, TGT, MAT), kind (vehicle or consumer), make, model and model_year, query (words, e.g. "airbag inflator" or "crib"), date_from/date_to; filters e.g. {"hazard": "fire", "product_type": "bicycles", "do_not_drive": true, "category": "tire"}; sort date, units or title. view "recall": one recall (recall = recall_id or slug from view recalls) with what is wrong, what can happen, the remedy, incidents reported and the makes, models and model years it covers. view "totals": recalls counted by year (default), month, kind, category, make, model, model_year, manufacturer, ticker, hazard, product_type or component (by), with the same filters, e.g. a company's recalls per year (ticker, by "year") or the most recalled models of a make (make, by "model"). view "ratings": crash test star ratings (overall, frontal, side, rollover, 1 to 5 stars) and safety features by make, model and model year; filters e.g. {"min_overall": 5, "year_from": 2022, "vehicle_class": "suv"}. view "complaints": owner complaints about vehicles by month (default, newest first), year, make, model, model_year or component (by), with crashes, fires, injuries and deaths reported; filters e.g. {"component": "AIR BAGS"}. Complaints are the owner's account and not verified; popular models get more. Makes and models are written as published, e.g. FORD and F-150 (any case). view "carriers": active US trucking carriers with 10+ power units, largest fleet first: power units, drivers, crashes over 24 months (fatal, injury, tow-away), crash rate per 100 power units, roadside inspections and driver and vehicle out-of-service rates, safety rating, ticker. Find by query (name or carrier number), ticker (e.g. JBHT, KNX, WERN, ODFL, SAIA), filters e.g. {"state": "TX", "kind": "passenger", "operation": "interstate", "safety_rating": "conditional", "min_power_units": 100}; sort power_units, drivers, crashes, fatal_crashes, crash_rate, vehicle_oos_rate, driver_oos_rate (carriers with 20+ inspections) or inspections. view "carrier": one carrier in full (carrier = carrier number or slug from view carriers) with its fleet rank and the averages of all trucking carriers, of its state and of all roadside inspections. view "trucking_stats": all carriers (also small ones) by state (default, last 12 months), month or year (by): active carriers, power units, drivers and fleet sizes (monthly snapshot), new carriers, crashes and deaths (where they happened), inspections and out-of-service rates; date_from/date_to as YYYY-MM, filters e.g. {"state": "TX"}; sort (by state) e.g. crashes or vehicle_oos_rate. Crashes do not say who caused them. Workplace safety, environmental compliance and emissions (2010 on; counts and money, no personal data): view "facilities": facilities with their totals for the last 5 years (date_from/date_to as years): workplace safety inspections, violations (serious = serious, willful or repeat) and penalties; environmental (air, water, waste) inspections, violations, formal enforcement actions, penalties and quarters in noncompliance; newest yearly greenhouse gas emissions. Find by query (part of a name), ticker (e.g. XOM, DUK, TSN, WMT, AMZN), filters e.g. {"state": "TX", "county": "Harris", "zip": "77506", "lat": 29.7, "lon": -95.0, "radius_miles": 5, "kind": "environmental", "program": "air", "naics": "324"}; sort penalties (default), violations, serious_violations, inspections, enforcement_actions, emissions or distance. view "facility": one facility in full (facility = facility_id from view facilities): every year of both kinds and of emissions, owners and listed company. view "compliance_companies": with ticker, a listed company's facilities by year and kind (inspections, violations, penalties, enforcement actions), its emissions by year, largest cases and emitters; without ticker, listed companies ranked (sort penalties, violations, serious_violations, emissions, facilities). view "emissions": greenhouse gas emissions in metric tons CO2e of large facilities, newest year by default (filters {"year": 2022}): by (group_by) facility (default), company, state, sector or year; ticker, filters e.g. {"state": "TX", "sector": "Power Plants"}. Penalties are as recorded; violations are not all equally serious; larger companies have more facilities: compare with care.

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• get_tax_code_articleA

  UpGrowth: business data for Algeria, Tunisia and MoroccoA

  Get one article of one of the six tax codes of Algeria in full, from the 2026 editions of the Direction générale des impôts: cidta, cpf, ctca, ce, cii or ct (search_tax_code says what each holds), by the number the code prints: 150, 282 quater, 300-3, 2 bis (Art., accents and case are ignored). Returns the code and its title, the edition, the link to the official PDF, the article id, its heading (part, title, chapter, section), its status (in_force, or abrogated: such an article holds only the word Abrogé), its text in French with the paragraphs on separate lines, its notes (the finance laws that created, amended or repealed it, as the code lists them) and the ids of the previous and the next article. The text is the DGI's consolidated edition and the legal reference stays the Journal officiel: use get_jo_act to read a finance law that a note names. An unknown article is a not_found error that lists the nearest article numbers. Use it to read an article before quoting it, and name it by code and number (for example CTCA art. 21). Algeria only (country DZ); other countries return country_not_available.

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• lookup_wordA

  Word Orb — English vocabulary for reader glossariesA

  Look up one English headword. May generate and cache a missing record using AI. Definitions and optional IPA, etymology and translations are AI-assisted and may be incomplete or incorrect. Use lookup_words when you require stored records only. Requires a Word Orb key; counts toward account quota.

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• form-writeA

  WayfrontA

  Create or update forms. Creation requires type, name and the full initial fields list. Updating fields replaces the full list and deletes omitted fields; preserve existing field IDs. Omit fields to change form settings only. Order/contact forms require email, and order forms require a service-bearing field. Field edits are blocked for forms with white-labeled services.

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  Destructive

  OAuth

• repurpose-long-formA

  GigSoul x402A

  Repurpose one long piece for several channels at once: a LinkedIn post, an X thread, an email draft, and a blog intro. Use when you need all four. For an X thread only, use thread-from-article (cheaper). URLs are not fetched; paste the text. Pay-per-call: $0.06 USDC on Base via x402. Without a payment-signature header the call returns an error whose data carries the payment terms.

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• workbook_inspectA

  SumOffice — real Word and Excel for agentsA

  Map the whole application model of this workbook in one call: sheets; VBA modules, procedures, which can run here and which are blocked and why; event handlers; external objects (CreateObject) and Windows API (Declare) dependencies; project references; Power Query queries; data connections; form controls, ActiveX, embedded objects (preserved). Runs nothing. Call this first for questions like 'how is this workbook built' or 'what does it depend on'.

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• sheet_applyA

  SumOffice — real Word and Excel for agentsA

  Apply a proposal from sheet_propose_edits to the workbook in this session's cabin (not to your original file); the engine recalculates. Refused if the workbook revision moved on since the proposal — propose again. Repeating an applied proposal is a no-op.

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• document_export_pdfA

  SumOffice — real Word and Excel for agentsA

  Lay out the document as it is now in this session's cabin (after applied proposals, or as opened) and return a PDF download link valid for 24 hours, plus the page count. Documents only; for workbooks use document_save_copy.

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• get_sold_comps_batchA

  govauctions.appA

  get_sold_comps for a list of items in one call. Each query is either a string ('2015 Ford F-150') or an object with its own q/category/country/state. Each item costs one valuation lookup, exactly as if sent alone; an item that comes back without a range is not charged. If the monthly allowance runs out part-way, the items already priced are returned and `batch.truncated` names the rest. Batch size is capped by plan (10 on the free allowance). Requires sign-in or an API key.

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• translate_wordA

  Word Orb — English vocabulary for reader glossariesA

  Request a translation for supplied text and a target language. May use stored data or AI generation; language coverage and quality vary. Requires a Word Orb key and applicable plan entitlement; counts toward account quotas. Use lookup_words to inspect only existing translations.

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• forkA

  RPCS-1 Agent Tuner & Translation BridgeA

  The calibrated ambiguity surface: deterministic structural fork detectors (reference, scope, grouping, compare-vs-choose, polysemy) with character-offset spans, plus per-reading one-line clarifiers the sender can append to lock a reading in. Returns competing readings, an ask-back question, and a forked-answer scaffold. Silent on clean text by contract. Runs the deterministic mirror floor only over MCP (no model). Prefer this over interpret for span-level ambiguity detection: interpret’s entity list is a word-list engine (calibrated 2026-08-15: no discrimination on conversational text) — advisory only.

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• sheet_propose_editsA

  SumOffice — real Word and Excel for agentsA

  Propose new contents for up to 20 cells (formulas like =SUM(B2:B9), or numbers/text). Nothing changes in the workbook: the engine previews the edits on the current revision and reports what would change and whether errors appear; the person decides whether to apply. Read the cells first. Do not overwrite input numbers unless the task says so. Then call sheet_apply with the proposal_id.

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• algorithm_compareA

  Algorithm FinderA

  Compare candidate algorithms against the facts of YOUR instance and get a verdict. Pass method names (e.g. ["dijkstra","bellman-ford"]) or a problem description, plus constraints such as {"negative_weights": true, "query": "single_source"}, {"stable": true, "key_type": "integer_small_range"}, {"exact": false, "dimensions": "high"}, {"false_positives_ok": true, "dynamic": "fully_dynamic"}. Each candidate gets satisfied / violated / unknown per constraint, read from a curated table cited to textbooks, papers and library docs; unknown means the table records nothing and is never guessed. Returns the winner (or "conditional" with the unknowns named, or "none_compatible"), each candidate's bounds and when-not advice, and the decisive questions you have not answered that would change the choice.

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• fabrement-create-cf7-formA

  FabrementA

  Create a Contact Form 7 form (CF7 must be active). YOU WRITE THE MARKUP: `template` is the CF7 form body — your HTML plus CF7 [tags] — so the layout is whatever the design asks for, not a column of generated paragraphs. The mail body, Reply-To and attachments are derived from the tags in it. Returns { form: { id, title, shortcode, fields } } — the id is the default of the `form` attribute of a block (FormField). LIST-FORMS FIRST: a duplicate title is NOT refused, so calling this twice leaves two forms with the same name and no way to tell which one a page renders. Reuse the existing form, or update it with update-cf7-form. Rules: get-skill-doc {id:"forms-contract"} — read it before the first call.

  ConnectorAPI key