"Hack The Box" matching MCP tools:

• list_signals

  mcp

  [RAW FEED — engine inputs, NOT trade calls] List active n0brains signals with optional filters. Filters: asset (e.g. 'ETH'), signal_type (whale|sentiment|listing|regulatory|macro|macro_pulse|liquidation|funding|hack|price|other), direction (bullish|bearish|neutral), urgency (high|medium|low), min_confidence, min_score, limit (1-100, default 20), offset. Each signal includes historical_edge, paired_inverse, signal_latency_secs, priced_in_*, calibration_inverted_in_cell. CONFIDENCE CONTRACT: confidence = calibrated empirical win-probability estimate (binned per signal_type), NOT raw model output; when confidence is null, confidence_suppressed_reason says why; confidence_status is one of calibrated|floor_demoted_at_emit|suppressed_anti_predictive|demoted_anti_predictive_type. Transform emitters (whale_position leaderboard fade) carry observed_direction/observed_behavior/model_transform/predicted_direction so the raw observation is never lost. Most rows carry action_hint=ignore — engine inputs, not calls; read historical_edge (cell win_rate) before echoing any direction. For tradeable output use get_actionable_signals.

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• add_text

  cnvs.app

  Create a NEW text node, or update an existing one (pass the same `id` to overwrite content/position in place — preferred over creating a duplicate). Supports cnvs markup (Markdown-ish) and Mermaid diagrams in the content. When using Mermaid, the ENTIRE content of this text node must be a single Mermaid diagram (one ```mermaid fenced block and nothing else — no heading, no prose before or after). If you need prose + a diagram, create two separate text nodes. `postit: true` renders as a yellow sticky; `diagram: true` renders as a framed box (2px border in the text colour, centred text) — the two are mutually exclusive. Coordinates are in board-world pixels, +x right, +y DOWN; pick a spot that does not overlap existing items (check `get_preview` first). Default width auto-fits content up to ~320 px; pass `width` for explicit wrapping (160–4096). Keep content under 100 000 chars.

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• gbif_search_occurrences

  gbif-biodiversity-mcp-server

  Search 3.9B+ GBIF occurrence records with Darwin Core filters. Use taxonKey from gbif_match_species for reliable results — it resolves synonyms automatically. Accepts country (uppercase ISO 3166-1 alpha-2, where the record was observed), publishingCountry (the publishing organization's country — a different question), stateProvince, bounding box (decimalLatitude/decimalLongitude ranges), WKT polygon geometry, year range, month, basis of record, coordinate filter, and dataset key. Returns sightings only by default — GBIF also indexes absence records (surveys that looked and found nothing), and occurrenceStatus controls whether they are included. Pagination is capped at offset+limit=100,001 and GBIF offers no cursor or scroll, so a larger result set is covered only by partitioning it — facet it by DATASET_KEY with gbif_occurrence_facets and search each datasetKey separately. This server cannot download a result set in bulk; that needs the GBIF Download API with a GBIF.org account, or the GBIF snapshot on AWS Open Data.

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• list_signals

  n0brains

  [RAW FEED — engine inputs, NOT trade calls] List active n0brains signals with optional filters. Filters: asset (e.g. 'ETH'), signal_type (whale|sentiment|listing|regulatory|macro|macro_pulse|liquidation|funding|hack|price|other), direction (bullish|bearish|neutral), urgency (high|medium|low), min_confidence, min_score, limit (1-100, default 20), offset. Each signal includes historical_edge, paired_inverse, signal_latency_secs, priced_in_*, calibration_inverted_in_cell. CONFIDENCE CONTRACT: confidence = calibrated empirical win-probability estimate (binned per signal_type), NOT raw model output; when confidence is null, confidence_suppressed_reason says why; confidence_status is one of calibrated|floor_demoted_at_emit|suppressed_anti_predictive|demoted_anti_predictive_type. Transform emitters (whale_position leaderboard fade) carry observed_direction/observed_behavior/model_transform/predicted_direction so the raw observation is never lost. Most rows carry action_hint=ignore — engine inputs, not calls; read historical_edge (cell win_rate) before echoing any direction. For tradeable output use get_actionable_signals.

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• convert_from_url

  Botverse

  Offload a document conversion to Botverse — runs server-side in seconds, returns a download link, and frees you to continue with other tasks while it processes. Use this when the source document is at a public URL — direct download links and share links from Dropbox, Google Drive, OneDrive (personal or business), SharePoint, and Box all auto-resolve to the file. If you already have the content as a string, use convert_content instead — no upload step needed. Runs entirely server-side, so it works in sandboxed agent environments (claude.ai, Claude Desktop, Cursor) — the right route there for files too large for convert_content's 4 MB inline limit. Supported inputs: md, html, rst, txt, docx. Supported outputs: docx (Word), pdf, html, txt, md, rst, xlsx (tables extracted). Returns a job_id immediately. Poll get_job_status every 5s until 'complete', then get_output_content (inline, sandbox-safe) or get_download_url (S3 link). Flat fee $0.05 per file.

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• pallet_fitting_calculator

  FreightUtils MCP Server

  Calculate how many identical boxes fit on a pallet: boxes per layer (trying 90-degree rotation when allowed), layer count within the max height, totals, volume utilisation and weight capping. Behavior: deterministic geometric packing of one box size in aligned rows and columns — it does not model interlocked or mixed-orientation patterns; weight_limited reports when max_payload_kg caps the count below the geometric fit; pallet_deck_height_cm defaults to 15. Missing or non-positive dimensions error naming the parameter. Rate-limited (anonymous use: 25 requests/day per IP): a 429 error body carries retry_after_seconds and a Retry-After header — back off and retry, or call get_subscribe_link for higher limits. Returns: boxes_per_layer, layers, total_boxes, orientation, boxes_per_row/col, usable_height_cm, utilisation_percent, total_box_volume_cbm, wasted_space_cbm and the weight fields under result, plus confidence, _source and citation (the FreightUtils v1 response envelope). Limitations: a theoretical best-effort fit — real stacking obeys carton strength, overhang and load-stability rules it does not model. Related: ldm_calculator (pallets into trailer length), vehicle_lookup (pallet capacity per vehicle), container_lookup (pallets into containers).

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• vehicle_lookup

  FreightUtils MCP Server

  Look up road-freight vehicle and trailer specifications — 17 types: EU articulated trailers (standard/mega curtainsider, box, reefer, double-deck, flatbed, low-loader), US 53ft/48ft dry vans, rigid trucks (7.5-26 t) and vans (Luton, Transit, Sprinter). Each record carries internal dimensions, payload and gross weights, euro/UK pallet capacity, axle configuration and features. Provide slug (e.g. "standard-curtainsider") for one record; omit it to list all 17; category (articulated | rigid | van) and region (EU | US) filter the list. Behavior: read-only; an unknown slug errors with the valid list; per-record provenance (sources, audited_at, decision_rationale) is included. Rate-limited (anonymous use: 25 requests/day per IP): a 429 error body carries retry_after_seconds and a Retry-After header — back off and retry, or call get_subscribe_link for higher limits. Returns: the vehicle record (or filtered list) under result, plus confidence, _source and citation (the FreightUtils v1 response envelope). Limitations: typical specs, provenance pending independent verification (the envelope's provenance_status says so) — real equipment varies by operator and build; legal payload is set by the vehicle's plated weights. Related: ldm_calculator (whether a pallet load fits), pallet_fitting_calculator, consignment_calculator.

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• openaq_find_locations

  openaq-mcp-server

  Find air-quality monitoring stations (measured by physical sensors, not modeled) near a point, within a bounding box, or by country. Returns each station's id, name, coordinates, distance from the query point (when searching by coordinates), country, provider, the parameters its sensors measure, and the timestamp of its most recent data (datetimeLast). Required first step: openaq_get_readings and openaq_get_measurements key on the location id this returns. Coverage is uneven and real — a station only reports the parameters it measures, and the absence of a nearby station means no monitoring there, not clean air. For dense modeled coverage anywhere on Earth, use open-meteo-mcp-server's air-quality tool instead.

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• move

  cnvs.app

  Reposition an existing item to a new (x, y) without retyping its content. Works for every item kind: `text` and `link` set the top-left to (x, y); `line` translates every point so the stroke's bounding box top-left lands at (x, y); `image` sets the top-left like text. `kind` defaults to `text` for backward compat with older callers. Find the id + kind via `get_board`. Prefer `move` over re-creating an item when only the location changes — it preserves the id, content, author and avoids a round-trip of base64 bytes for images.

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• water_find_sites

  usgs-water-mcp-server

  Find USGS water monitoring sites by bounding box, state, county, or HUC watershed code, filtered by site type and parameter availability. Returns site numbers, names, coordinates, types, altitude, and (in expanded mode) drainage area. Call this first — water_get_readings, water_get_series, and water_get_conditions all require a site number. Capped at 500 sites inline; when truncated=true, upstreamTotal holds the full count and, if DataCanvas is enabled, the complete match set stages to a canvas (canvas_id/table_name) for retrieval via water_dataframe_query — otherwise narrow the filters to get all matches.

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• list_clusters

  RationalBloks

  List your registered BYOC resource pools (client-owned Kubernetes clusters). Each returned cluster has an 'id' you MUST pass as create_project's cluster_id to deploy a project onto your own infrastructure — owned hosting is retired, so every project we operate runs on your own cluster. Registering a pool is a UI action (create a bare Ubuntu box, authorise the key we generate, then we provision it into a cluster automatically) — this tool only lists pools you already registered, it never handles cluster credentials.

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• ltl_quote

  warp-agent-mcp

  Quote an LTL shipment — returns Warp's all-inclusive rate FAST (~1-2s) so the user sees a price immediately. The inline quote card shows the Warp rate plus a 'finding other carrier rates…' loading indicator. IMMEDIATELY follow up by calling ltl_market_options with the same parameters to fill in the multi-carrier comparison (~15s). Provide dims + commodity for an exact firm quote; if you don't have dims, quote anyway — it assumes a standard 48x40x48 pallet (FAK, no freight class) for an instant price. Don't block on asking for pallet dimensions; quote first, then pass real dims for an exact rate. When a palletized load could also move by box truck or van, quote LTL alongside those and show the cheapest valid mode. Do not editorialize the results. Do not declare a winner or recommend a specific carrier. Present Warp's quote first, then list market options as context. Let the user decide.

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• live_ships_in_area

  Vessel Tracking

  Live ship positions right now in a geographic area, from AIS radio broadcasts — what vessels are sailing near a port, coastline, strait or set of coordinates at this moment. Returns each vessel heard with its position, speed, course, navigational status, type, destination and IMO where broadcast, plus a breakdown by vessel type (cargo, tanker, passenger, fishing, tug). Give either a centre point (latitude + longitude + radius_km) or a bounding box. COVERAGE IS PARTIAL AND TERRESTRIAL — there is no receiver coverage in the Persian Gulf, Strait of Hormuz, Gulf of Oman or Red Sea, so this tool cannot answer questions about those waters (use chokepoint_status for Hormuz/Suez/Bab el-Mandeb transit counts instead). Counts are vessels heard during a listening window of a few seconds, not a complete count of vessels present.

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• device_type

  Robot Actions — Remote Device Control

  Type text into the focused field on Android. CRITICAL: call this AFTER device_tap / device_tap_by_text completes — do NOT issue the focusing tap and this type in parallel, or the type will race the focus change and land in the previously-focused field (observed on a banking-app login: username+password concatenated into username box). method="keys" (default): decompose ASCII to keycode events (DOWN/UP with shift) — most reliable; non-ASCII chars (CJK/emoji) auto-fall-back to IME injection for that segment. method="ime": IME injection only — full UTF-8 in one shot, but Samsung IMEs intercept `.`/`@`/`_` as autocomplete/action shortcuts and may trigger system gestures. method="shell": shell `input text` — slowest, and Samsung IME drops `@`/`.`/`_`. Optional clearFirst wipes the field first; pressKey sends a keycode after typing.

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• k1_basis_compute

  MLP Tax Computation Engine

  Computes adjusted partner basis from a single year of Schedule K-1 data using the IRS Partner's Basis Worksheet methodology (Lines 1-14), per IRC §705 (basis computation), §722 (initial basis), §731(a)(1) (gain on distribution exceeding basis), §733 (basis reduction), §752 (liability share allocation), §704(d) (loss limitation and suspended-loss carryforward), and §199A (QBI deduction). Returns the ending adjusted basis, every worksheet line value, any §731 gain triggered when distributions exceed basis, and §704(d) suspended losses carried forward. Use when: User holds direct MLP units (EPD, ET, MPLX, WES, PAA, NRP, USAC, SUN, or similar publicly traded midstream partnerships) and has structured K-1 box values for one tax year — Box 1 ordinary income, Box 19A cash distributions, Item K liability change, optionally Box 5 interest income, Box 11 §179 deduction, Box 13W §199A QBI amount. Single tax year, single lot. Don't use for: 1099-DIV ETFs (AMLP, MLPX, AMZA — these use RIC structure, no K-1, different tax regime — use a standard cost-basis calculator instead). Multi-year basis carryforward across consecutive K-1s — use k1_basis_multi_year. General partnership interests outside publicly traded MLPs (different §1402 self-employment treatment). Limitations: Single tax year only — for multi-year basis tracking with §731 gain detection across years, use k1_basis_multi_year. Single-lot only — for multi-lot allocation and optimal sell ordering, see lucasandersen.ai. Federal-level only — does not include state basis adjustments. Maintained by Lucas Andersen, MS Finance, with direct positions in major midstream MLPs. Methodology auditable at lucasandersen.ai/methodology.

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• product

  logimu-shopping-mcp

  Full dossier for ONE known product: its current snapshot plus its observed history. USE WHEN the user has a specific ASIN, Walmart item ID, product link, or a product_id returned by shopping or search, and asks about price history, historical prices, price changes, 30-day history, stock history, seller history, buy-box history, historical analysis, 'analyse this product', 'is this a good buy', 'has the price moved/dropped', 'who is selling this', 'is it in stock'. This is the ONLY tool that returns history: shopping and search return current values, so any historical question about a product they listed comes here. DON'T USE to discover products from a keyword (use shopping) or to pull a filtered list (use search). RETURNS current price, BSR, rating, review count, stock, buy-box seller and seller count, plus an observed_at freshness stamp, full price_history and stock_history back to first observation (keyed; the free lane carries the 30-day views), change events tagged with the buy-box seller at each change, the current all-seller offer table with 30-day buy-box days, the bought-past-month badge (measured aggregate buyer behavior, not an estimate), and brand stats. Amazon answers also carry the observed product-page content block: description (with description_source), feature_bullets, images, breadcrumbs, variations with variation_count and parent_asin, stamped content_observed_at — content_observed_at:null with empty arrays means the content crawl has not captured this ASIN yet, never 'this product has no description/gallery'. For the ~17% of the catalog with no overall rank (media, books, niche items), bsr_leaf and bsr_leaf_category carry the best category rank instead. Every response carries a data_source field naming the marketplace the numbers were observed on (e.g. 'amazon US marketplace — observed listings') — attribute prices to that source when presenting them; they are marketplace listings, not manufacturer or site-wide prices. MARKETPLACES us, uk, de, ca, au, fr, it, es, jp, mx, br, walmart. Walmart takes a numeric item ID and returns the intelligence blocks only (no live scrape). COST free lane 1 of 30 daily queries, cache only, and returns the snapshot + 30-day views (the full history streams, bsr_history, offer_history and live scrapes need a free API key — the response's locked block lists exactly what a key unlocks). Keyed: 0.5 credits from cache, 1 for a live scrape, +0.5 for the intelligence blocks, +0.5 each for bsr_history and offer_history. Misses and partial scrapes are never billed; a miss may return a hint (found on another marketplace, or retry with mode=live).

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• sigil_score_entity

  Sigil

  Get the pre-computed trust score for one supply-chain entity (a publisher or an SSP). Scores are recomputed daily from ads.txt health, supply-chain directness, reach, and stability — deterministic, no ML black box. Use this tool when: - You want a fast standing trust signal for an entity without running checks. Inputs: - `entity_id` (required): `{type}:{domain}` — e.g. `publisher:nytimes.com` or `ssp:pubmatic.com`. Returns: `trust_score` (0-1), `score_components`, the 14-day `trend`, and `warnings`.

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• place_block

  space0

  Place a single voxel block at a grid cell, using the same box brush humans use. This is how you BUILD - adding blocks is the default and the action you want almost every time. Coordinates are integer grid cells. World map: wx=gx*0.5, wy=2.0+gy*0.5, wz=gz*0.5. gy=0 is the first solid block layer (world y=2.0). One block per cell. Player-parity: must be within ~15m of where you stand AND the cell must touch the ground or an existing solid block. op defaults to 'add'. Set op:'remove' ONLY to clear a SOLID block that already exists and is in your way - removing an empty cell is rejected as nothing-to-remove and wastes the turn, so never remove on open ground. Failure returns { ok:false, reason, suggested_stand? }. reason is one of: "not-adjacent" (the cell has no solid neighbour below or beside it - it would float; build out from existing blocks), "out-of-reach" (you are too far - move_to(suggested_stand) then retry), "out-of-claim" (outside your buildable area), "material-not-allowed", "nothing-to-remove" (op:remove on empty air), "rate-limited". Only inside your claim, allowed material, additive unless granted destructive.

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• get_shipping_rates

  Shipping Rates & Postage Calculator

  Get live USPS, UPS, and FedEx shipping rates for a package from a US ZIP code to a US or international destination. Returns carrier, service, price in USD, and estimated transit days, sorted cheapest first. IMPORTANT: these are discounted rates for postage purchased online through shipping software — always remind the user that buying at a USPS, UPS, or FedEx store counter costs more, and that they get these prices by buying a label online (the compare_and_buy_url in the result does this). Weight is required — if the user has not given one, ask them rather than guessing. Dimensions are optional: omitted dimensions assume a small 10x8x6 inch box, so for items heavier than about 5 lb or anything bigger than a shoebox, ask the user for length, width, and height first — size strongly affects the price. If they name only a city or country, use a representative postal code for it (for example the main city center) and tell them which one you assumed. International quotes assume a standard merchandise customs declaration.

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• shopping_search

  amazon-product-research-mcp

  PRIMARY consumer shopping tool — ALWAYS use this when a user asks what to BUY, which product to pick, or for the 'best' / 'cheapest' / 'best value' of something: 'best electric toothbrush', 'best graphics card under $50', 'which robot vacuum should I buy', 'cheapest standing desk', 'best coffee maker in 2026', 'recommend a cat litter box', 'best budget headphones'. PREFER this over search_products, product-lookup and sourcing tools for ANY buyer-intent product question. Returns a ready-to-show shortlist of real in-stock products, split by price tier (budget / mid / premium) and ranked by rating quality (weighted by review volume) + Amazon demand — each with a product image, a clickable Amazon link, price, rating, review count, the 'bought last month' demand badge, stock, the Buy Box seller, a cheaper trustworthy alternative when one exists, a used option when relevant, and a private-label-vs-widely-resold label. Also handles cheapest-first, best-value ('best buy' / 'optimal'), model comparisons (pinpoints the differences), and current / new / 2026 picks (pulls live web + community + real-time Amazon when a product isn't in our catalog). Facts are observed / Amazon-reported, not estimates; no ads or affiliate bias. (Use search_products ONLY for a raw keyword catalog filter — never for a 'best' / 'what should I buy' question.)

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