"A server for finding blenders and blending equipment" matching MCP tools:

• feed_sourcesA

  data-breach-detectorA

  List the public disclosure feeds this server aggregates, how many disclosures are cached per source, each source's newest item and an honest staleness flag, plus cache ages. Takes no arguments. Also states the scope plainly: public feeds only — no .onion access, no arbitrary fetching or crawling, no credential or PII output. Check this first if another tool's answer looks thin: a stale live feed is a finding, not background noise.

  ConnectorNo auth

• goods_classifyA

  banking-intelligenceA

  Classify goods for export control from a description (or HS code). Bilingual (English / Russian, auto-detected) goods classifier. Returns the best-matching HS code (with EN+RU descriptions), related ECCNs, control reasons (NS, MT, NP, CB, AT...), an export-control level (high/medium/low/ none), a confidence score, and alternative matches for review. This is destination-agnostic — it identifies WHAT the goods are and whether they are controlled in principle. To get the license decision FOR A SPECIFIC destination, pass the result into export_controls_screen. IMPORTANT, the matcher is lexical, and confidence scores the strength of the string match, not the correctness of the classification: "equipment" returns semiconductor manufacturing equipment at confidence 1.0. Treat the code as a suggestion for narrowing the question. When no hs_code was supplied the result carries classification_basis and classification_confidence_note; read them before quoting any code, and ask the user for the HS code or ECCN on their shipping documentation. Args: description: Goods description, min 2 chars (e.g. "uranium centrifuge", "центрифуга для урана"). Required. hs_code: Optional known HS code (4 or 6 digits) for a direct lookup. language: Optional hint — "en" or "ru" (auto-detected if omitted). Examples: goods_classify("uranium centrifuge") # → HS 840120, ECCN 0B001 goods_classify("центрифуга для обогащения урана") # Russian query, same result goods_classify("semiconductor manufacturing equipment") goods_classify("", hs_code="840120") # direct HS lookup Use case: 'Is a semiconductor lithography machine export-controlled?'

  ConnectorNo auth

• vehicle_reportA

  title-checkA

  Generate a pre-purchase report for a titled asset by VIN (cars, trucks, RVs, trailers, heavy equipment) or HIN (recreational boats). Returns open federal NHTSA recalls (severity-ranked), consumer-complaint crash/fire/injury/death counts, open investigations, VIN check-digit + factory decode, and the exact next-step sources for lien & title-brand. Public NHTSA/USCG data — not an official title record; lien/salvage need a state/NMVTIS check, which the report links.

  ConnectorNo auth

• explain_findingA

  MalinoisA

  Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.

  ConnectorNo auth

• query_companiesA

  Trustbase Lab · rCB & Chemical Recycling DataA

  Purpose: query the global rCB company and project database (129 records: domestic / international / equipment vendors) by segment, region, status and keyword - the discovery tool for capacity projects and players in the chemical recycling industry. Guidelines: combine segment (rcb/virgin/conductive) + status ('在建','规划','under construction') + location; for capacity-project lists filter status, then pair with get_company for full entity detail. Limits: company-level records only - capacity is a record attribute, not a separate projects table; confidence varies A/B/C. Ex: 'rCB projects under construction in China', 'conductive carbon black producers worldwide'.

  ConnectorNo auth

• mix_colorsA

  rnv-color-mcpA

  Blend up to 12 colors into one. Each color may be a hex (#d2bc93), a CSS name (red), an RNV brand name (brand gold, near-black), or a saved-palette reference (Spring line, or 'Spring line:2' for its 2nd swatch). Optional integer weights bias the blend (defaults to equal). mode selects the model: rgb/hsv/lab are digital blends (lab is perceptual and the default, best for on-screen color); paint mixes pigments via Kubelka-Munk physics (colors darken like real paint, use it for physical-media matching); ryb is the artist's color wheel; cmy is subtractive like printer inks. Returns hex and rgb. Reach for paint when BLENDING brand colors into a new one, and lab when SAMPLING between them: lab averages chroma toward the centroid of its ingredients, which is right for finding a midpoint and wrong for making a new color. RNV's #00b0a0 was blended in paint; the same ingredients at the same weights in lab give #9cc1a5, 15.94 away and far closer to the brand gold it exists to be distinguishable from. Read-only and deterministic: it computes a result and stores nothing, so it is safe to call repeatedly with no side effects. Use to combine multiple colors into a single blend; to convert one color between formats use convert_color, and to measure how far apart two colors are use color_difference.

  ConnectorNo auth

• get_vehicle_detailsA

  FINN Auto - Car SubscriptionA

  Get full specifications, equipment, all images, and pricing per term for a specific vehicle. Use a vehicle_id from search_vehicles results. IMPORTANT: Always show `detail_url` as a clickable link — it points to the FINN configurator where the user picks term and km. To produce a direct checkout link for a specific term + km combination (and optionally a one-time Fahrzeugbereitstellung), call `get_subscription_pricing` and use the `checkout_url` it returns. Never construct checkout URLs yourself. The `vehicle_id` field is an internal API identifier — never display it to users.

  ConnectorNo auth

• mix_colorsA

  rnv-color-mcpA

  Blend up to 12 colors into one. Each color may be a hex (#d2bc93), a CSS name (red), an RNV brand name (brand gold, near-black), or a saved-palette reference (Spring line, or 'Spring line:2' for its 2nd swatch). Optional integer weights bias the blend (defaults to equal). mode selects the model: rgb/hsv/lab are digital blends (lab is perceptual and the default, best for on-screen color); paint mixes pigments via Kubelka-Munk physics (colors darken like real paint, use it for physical-media matching); ryb is the artist's color wheel; cmy is subtractive like printer inks. Returns hex and rgb. Reach for paint when BLENDING brand colors into a new one, and lab when SAMPLING between them: lab averages chroma toward the centroid of its ingredients, which is right for finding a midpoint and wrong for making a new color. RNV's #00b0a0 was blended in paint; the same ingredients at the same weights in lab give #9cc1a5, 15.94 away and far closer to the brand gold it exists to be distinguishable from. Read-only and deterministic: it computes a result and stores nothing, so it is safe to call repeatedly with no side effects. Use to combine multiple colors into a single blend; to convert one color between formats use convert_color, and to measure how far apart two colors are use color_difference.

  ConnectorNo auth

• get_corpus_coverageA

  SRI — MCP Server InspectorA

  No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.

  ConnectorNo auth

• parksopen_search_campsitesA

  Parks OpenA

  Use this when exact dates or equipment fit matter, for questions like 'is X available', 'find a site for the long weekend', or 'which parks have space for a 32 ft RV'. It reads observed campsite availability across Canadian park reservation systems (BC Parks today) from public reservation data. Filters the official sites cannot: exact equipment fit, electrical, waterfront, shade, pets, privacy — across every park at once. Returns only sites observed open for EVERY requested night, with an absolute Parks Open page URL to cite, a booking link into the official reservation flow (we never book for the user), and observed_at for freshness; verify availability on the official site. Not for: fees, rules, facilities (use parksopen_park_info), weather (parksopen_check_weather), closures (parksopen_check_alerts), or dates beyond the provider's booking window.

  ConnectorNo auth

• get_workoutA

  Wellness ProjectA

  Retrieve full detail of a workout session: exercises, sets, reps, weights, superset groupings, heart points, notes, and NSI scoring at every grain. Use for detailed questions about a past workout, reviewing training before recommendations, confirming what was logged, or comparing a session to population strength standards. NSI: session NSI/rating in the header; per-exercise NSI (max set NSI), rating, est. 1RM, and the population_1rm_lb/population_reps benchmark it was measured against; per-set NSI and est. 1RM to see which set drove the exercise score. EQUIPMENT: shown per exercise when every set shares a tag, else per set; missing means untagged. A wrong or missing tag on a dumbbell exercise silently halves or doubles its NSI score — fix it via update_workout's set_updates or add_exercises equipment field. REQUIRED WORKFLOW: call list_workouts first to find the session ID — never guess it. SAVED WORKOUTS: pass saved_workout_id to read a reusable Saved Workout prescription. Do not combine it with session_id/session_date.

  ConnectorOAuth

• submit_enquiryA

  siteA

  Submits an enquiry to Equipment Rental Compare — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: "By submitting you agree Equipment Rental Compare passes your details to rental companies covering your area."

  ConnectorNo auth

• colour_mixA

  Colour MemoryA

  Simulate perceptually modelled subtractive mixing of two colours in CIE Lab space (not RGB screen blending). Returns the resulting mixed hex value and its nearest archive match with cultural context. Uses CIE Lab subtractive model for perceptual accuracy. Example: mixing Prussian Blue and Yellow Ochre gives a muted green — the tool identifies which archive colour that green most closely matches.

  ConnectorNo auth

• get_humanA

  Human PagesA

  Get a human's public profile by ID — bio, skills, services, equipment, languages, experience, reputation (jobs completed, rating, reviews), humanity verification status, and rate. Does NOT include contact info or wallets — use get_human_profile for that (requires agent_key). The id can be found in search_humans results.

  ConnectorNo auth

• colour_mixA

  Colour MemoryA

  Simulate perceptually modelled subtractive mixing of two colours in CIE Lab space (not RGB screen blending). Returns the resulting mixed hex value and its nearest archive match with cultural context. Uses CIE Lab subtractive model for perceptual accuracy. Example: mixing Prussian Blue and Yellow Ochre gives a muted green — the tool identifies which archive colour that green most closely matches.

  ConnectorNo auth

• colour_mixA

  Colour MemoryA

  Simulate perceptually modelled subtractive mixing of two colours in CIE Lab space (not RGB screen blending). Returns the resulting mixed hex value and its nearest archive match with cultural context. Uses CIE Lab subtractive model for perceptual accuracy. Example: mixing Prussian Blue and Yellow Ochre gives a muted green — the tool identifies which archive colour that green most closely matches.

  ConnectorNo auth

• search_exercisesA

  anatomeB

  Search 873 exercises by name with muscle/equipment/level filters. Rows are lean (name, ext_id, equipment, level, muscles) — enough to pick one; get_exercise returns instructions and media. Paginates: pass next_cursor back as `cursor`.

  ConnectorNo auth

• us_auctions_searchA

  US AuctionsA

  Search live US auction lots across every source Pipeworx indexes — commercial auction houses (HiBid: ~1,900 US auctioneers, industrial liquidations, estate and equipment sales) and government surplus/seized/tax-deed sales (GovDeals, AllSurplus, PublicSurplus, Bid4Assets, IRS). Filter by free-text keyword (matched on the lot title, e.g. "forklift", "excavator", "F-150"), 2-letter state, asset_type (vehicle|equipment|realestate|electronics|other), segment (commercial|government), auction_house, max_price and closing_within_hours — or search geographically with near_zip + radius_miles ("forklifts within 50 miles of 94402"), which returns lots ordered by distance. Keyword search is full-text over the lot title AND description, so "cnc lathe" finds a lot titled "Haas TL-1" whose description says CNC lathe. Returns each lot with source, title, selling house, location, current bid, close time and a link. For what things actually SOLD for, use us_auctions_sold_comps instead.

  ConnectorNo auth

• dcl_evaluate_walletA

  DCL Trust Oracle — AI/LLM Output Audit (x402 MCP)A

  POST-ACTION Wallet Secret Guardian ($0.02). Scans for BIP-39 seed phrases (12 or 24 consecutive wordlist words), raw hex or WIF-format private keys, Ethereum/Bitcoin wallet addresses, and API keys/bearer tokens appearing near wallet/custody/signing terminology. Any finding results in NO_COMMIT — wallet secrets have no safe threshold, unlike other DCL evaluators. Returns a `sanitized_output` with all matches redacted (null if nothing was found) and a masked `redacted_sample` per finding — the real value is never returned or stored server-side.

  ConnectorNo auth

• review_program_draftA

  AIm Workout JournalA

  Server-side checklist for a DRAFT training program. Call it with the same WorkoutDocument you intend to import BEFORE presenting the draft to the user: it verifies day references resolve, every exercise is identifiable, rep ranges make sense, and — in 'coached' mode — that each exercise has a starting weight (or calibration note), matches the user's equipment and respects session length / weekly days. Pass program_mode='preserve' when the document is the user's OWN program brought in from a file. The same structural errors are refused, but a missing weight is accepted as a fact about their program, and an equipment or schedule mismatch comes back as a warning to show them rather than a violation to fix. Use the same mode you will pass to import_document. Returns {ok, mode, violations, warnings, unresolved, notes}. `unresolved` lists fields the file never stated — ask about those; never fill them in. Saves nothing, and creates nothing: reviewing somebody's file is not the start of a coaching relationship.

  ConnectorOAuth

• submit_enquiryA

  siteB

  Submits an enquiry to Toll Blenders — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: "Happy for my details to go to toll blenders and contract manufacturers, who'll contact me directly."

  ConnectorNo auth