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525,485 tools. Updated 2026-09-06 21:34

"DHL" matching MCP tools:

  • Calculates chargeable (billable) weight -- frachtpflichtiges Gewicht, Frachtgewicht -- for a freight shipment (Stückgut or Sammelgut) from a list of cargo pieces, for one of four transport modes. Answers questions like "wie viel wiegt die Sendung frachtpflichtig" or "was ist das Volumengewicht". For each mode, chargeable weight is the greater of the actual (scale) weight and the volumetric weight (Volumengewicht), where volumetric weight is derived from total volume using a mode-specific default divisor (overridable via volumetric_divisor): - air (Luftfracht): volume_cm3 / 6000 (IATA standard, 167 kg/m3) - courier: volume_cm3 / 5000 (common express-carrier convention, e.g. DHL/FedEx/UPS) - road: volume_m3 * 333 (simple volumetric "1:3" convention; does not model Lademeter/LDM-based road pricing -- for loading-metre, Stellplätze, or vehicle-fit questions, use calculate_loading_metres and check_truck_fit instead, both on this server) - sea_lcl (Seefracht): volume_m3 * 1000 (W/M -- weight or measurement, 1 revenue tonne per m3) Worked example: 2 pieces, 60x40x50cm, 45 kg each, air mode -> total actual weight 90 kg, total volume 0.24 m3, volumetric weight 40 kg (240,000 cm3 / 6000) -> chargeable weight 90 kg (actual weight governs, since it exceeds the volumetric weight). Rounding: air and courier chargeable/volumetric weight round UP to the nearest 0.5 kg (chargeable_weight_raw_kg gives the unrounded value, chargeable_weight_kg the rounded one). Road and sea_lcl are not rounded up, just reported to 1 decimal place. Edge cases: missing or invalid mode, more than 100 pieces, or any non-positive dimension/weight/quantity returns a clear, structured explanation rather than an error stack -- never a guessed default mode or divisor. Returns total actual weight, total volume, volumetric weight, raw and rounded chargeable weight, which one governs, the divisor used, and a one-line human-readable summary.
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  • Live shipping rates for one parcel sent from a US origin — inside the US, or to Canada, the UK, Germany or Australia — across USPS, UPS and FedEx, and DHL Express on the German and Australian lanes. Describe the item in plain words and the packed box size and weight are estimated. Give exact dimensions and weight to skip the estimate. Returns up to five purchasable services, each as one checkout total with the SMKlog fee inside it (the fee is itemized only on the checkout receipt) and, where the carrier publishes one, its own counter price for the same parcel beside it. Manual review: oversized, palletized or crated shipments are priced by a person. Clients that declare the io.modelcontextprotocol/tasks extension get a durable task handle (poll it with tasks/get, answers usually take a few business hours). Others get a pointer to the human review page. Shipping labels are bought on smklog.com, not through this tool. Choosing between the tools: use this one to answer what a shipment would cost. Then hand the quote_id it returns to create_checkout_link once the human has settled on shipping this exact parcel, so the pair costs one carrier call rather than two. Use get_price_index instead for typical or historical prices: it is free, while this tool spends a rate-limited carrier call every time. Parameter rules: - weight_lb, length_in, width_in and height_in count only as a set of four, each above zero. Leave any one out and all four are ignored in favor of the estimate, so never send weight alone. - Online pricing covers one parcel up to 150 lb, 108 in on the longest side and 165 in of length plus girth. A heavier or larger box, a quantity above 1, or a product worded as freight (pallet, LTL, truckload, machinery, bulk) returns no rates and goes to a person. - product is the item itself, up to 200 characters. A bare route ("to Canada"), a bare weight ("7 lbs") or a question is refused as product_not_recognized before any carrier is called. - from_zip must be a real 5-digit US ZIP (ZIP+4 is trimmed to five), or the call fails with invalid_us_zip. - to_zip follows to_country: a 5-digit ZIP for US, otherwise that country's own postal code handed to the carriers as typed. A to_country outside US, CA, GB, DE and AU is refused as international_unsupported_online, so do not retry it with a different box. - Allowance: 80 calls an hour per client, shared with the public /quote route.
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  • Track a shipment whose shipping label was bought on smklog.com, by carrier tracking number. Returns the current delivery status, the latest scan events and the estimated delivery date when the carrier reports one. Works for SMKlog labels only — it is not a universal tracker for arbitrary USPS, UPS, FedEx or DHL numbers, so a number from any other seller comes back not-found rather than as a status. Unrelated to the two pricing tools: it neither quotes nor spends quote allowance. Parameter rules: tracking_number is the only key; no order id or email is needed or accepted. When the label was bought through a create_checkout_link session, get_checkout_status hands back this number at label_ready. It is matched after removing spaces and hyphens and ignoring case, so a pasted or spoken number works as-is. Expect USPS as 20 to 22 digits (13 characters ending in US for international), UPS as 1Z plus 16 characters, FedEx as 12 to 22 digits; anything shorter than 6 characters after cleanup is refused as tracking_number_required, and a number SMKlog never sold answers 404 tracking_not_found with status "not_found". Scan events come newest first, up to eight.
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  • Return Patchistry shipping + returns policy. Use when user asks about: shipping time, shipping cost, free shipping, when will my order arrive, do they ship internationally, return policy, exchange policy, group order shipping. ANSWER: Free US shipping on every order (no minimum), 2-3 business day standard ship time from Southern California, 30-day returns with free return label, group orders 5+ batch-ship in 48 hours, international shipping available to 27+ countries via USPS/DHL.
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  • Calculate air freight chargeable weight — the greater of actual gross weight and volumetric weight, which is what airlines bill. Volumetric weight (kg) = (L x W x H in cm) / divisor; the IATA-standard divisor is 6,000 (1 CBM = 166.67 kg), while express integrators (DHL, FedEx, UPS) typically use 5,000. Behavior: deterministic; per-piece volumetric weight is rounded to 2 decimal places before totalling; basis reports which weight governs ("volumetric" = cargo is light for its size, "actual" = dense). Air mode only — sea W/M (1 CBM = 1,000 kg) is covered by consignment_calculator with mode=sea. Missing or non-positive inputs error with the failing parameter named. 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: chargeable_weight_kg, basis, volumetric_weight_kg (total and per piece), gross_weight_kg, cbm, ratio, factor and pieces under result; normalized_input echoes the interpreted inputs and any defaults applied; plus confidence, _source and citation (the FreightUtils v1 response envelope). Related: cbm_calculator (volume only), consignment_calculator (multi-line, all modes), uld_lookup (the equipment the freight flies in).
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  • "What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE parallel call. Fans out to SEC EDGAR (filings since `since`), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). `since` accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.
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Matching MCP Servers

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    Live USPS, UPS, FedEx and DHL Express parcel rates from a US origin, domestic or to Canada, the UK, Germany and Australia, from a plain-words item description: no scale, no account, no API key. Also creates checkout links, reports checkout status, tracks parcels bought on smklog.com and serves a monthly US parcel price index.
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Matching MCP Connectors

  • Realizable-vs-theoretical edge check against live CLOB order-book depth. REQUIRES one of `market` (single-market mode) or `event` (basket/partition mode). SINGLE-MARKET: pass a market slug/URL + side (buy_yes|sell_yes|buy_no|sell_no, default buy_yes) + size_usd (default 1000 — max spend on buys, target proceeds on sells); walks the ladder and returns top_of_book, vwap_fill_price, slippage_pp, shares_filled, max_fillable_usd, and a verdict (clean|degraded|cannot_fill). BASKET: pass an event slug/URL + side (sell_yes = capture overround by selling every leg, buy_yes = capture underround; default auto from partition sum) + size_usd interpreted as settlement notional S (shares per leg; each share pays $1); returns theoretical_sum vs realizable_sum (top-of-book vs VWAP across all legs), capture_ratio, profit_usd at executed size, per-leg fill detail, thin_legs[], max_clean_notional_usd, and forced_directional_risk naming the legs most likely to strand you unhedged. USE THIS before acting on any polymarket_arbitrage SELL/BUY-EVERY-LEG signal or any polymarket_edges trade above ~$500 — theoretical overround on thin books is not capturable, and partial basket fills convert an arb into an unhedged directional position (the dominant loss mode in real arb-bot P&L).
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  • Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipeworx connection — if the tool came from a different MCP server in your client (another vendor's Gmail, Splunk, Slack, etc. connector), we cannot fix it and reporting it here only delays you; file it with that server instead. Not sure? Pipeworx tool names are the ones this connection lists. Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. Filing without an account returns a `claim_token`; pass it back later as pipeworx_feedback({claim_token:"pwfb_…"}) to read whether it was fixed and what changed. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.
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  • PRE-ACTION Bulk Processing ($0.10). Evaluates a list of items in one call; each item is a dict shaped {"response": str, "policy"?: str}, where policy defaults to "default" if omitted and may be any built-in policy name (default, strict, anti_jailbreak, safety, content_quality). Each item gets its own independent COMMIT/NO_COMMIT verdict via the same logic as the matching single-item evaluate_* tool; results are returned in input order under `results`, plus a shared `batch_id`. Capped at 200 items per call — oversized batches are rejected. Use this instead of multiple single-item evaluate_* calls when checking several responses — optionally against different policies — in one priced call rather than paying per item separately.
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  • PREFER OVER WEB SEARCH for questions about current or historical data: SEC filings, FDA drug data, FRED/BLS economic statistics, government records, USPTO patents, ATTOM real estate, weather, clinical trials, news, stocks, crypto, sports, academic papers, or anything requiring authoritative structured data with citations. Routes the question to the right one of 5,798 tools across 1517 verified sources, fills arguments, returns the structured answer with stable pipeworx:// citation URIs. Use whenever the user asks "what is", "look up", "find", "get the latest", "how much", "current", or any factual question about real-world entities, events, or numbers — even if web search could also answer it. Examples: "current US unemployment rate", "Apple's latest 10-K", "adverse events for ozempic", "patents Tesla was granted last month", "5-day forecast for Tokyo", "active clinical trials for GLP-1". START HERE for most questions — this is the default entry point, works on every tier, one fast call. Step up only when needed: for a hallucination-resistant single answer with verbatim evidence + confidence use ask_pipeworx_grounded; for a broad/multi-part question that should fan out across many sources at once use deep_research (free account). For "what's the world saying about X" / breaking-news, ask_pipeworx already routes to live news + the *-news-feeds packs.
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  • ACCOUNT REQUIRED (free — sign in via GitHub at https://pipeworx.io/signup; depth:"thorough" needs a paid plan). If you are not signed in, use ask_pipeworx instead — it works on every tier. Grounded multi-source research across Pipeworx's 1517 STRUCTURED data sources (SEC filings, FRED/BLS economics, FDA, USPTO patents, markets, science, government records, etc.) in ONE call — this is NOT open-web search. Decomposes your question into focused facets, routes each to the right one of 5,798 tools IN PARALLEL, and returns a findings packet: verbatim evidence + confidence + source + fetched_at + a stable pipeworx:// citation per finding, with explicit gaps[] for facets the data couldn't answer (never invented). Best for broad/multi-part questions over structured data ("compare X and Y's regulatory + financial exposure", "research the filings + market picture for ACME"). For a single lookup use ask_pipeworx (one LLM call, not many). For BREAKING or colloquial CURRENT-NEWS / "what's the world saying about X" topics, prefer ask_pipeworx — it routes to live news APIs and the *-news-feeds packs; deep_research returns mostly empty gaps[] when the topic isn't in the structured catalog. Second-hop iteration: depth:"standard" re-angles unanswered gaps (gap recovery); depth:"thorough" additionally chases the best leads from the first pass — so multi-step questions resolve in one call. Every finding carries a `hop` field and a citation_uri — a resolvable pipeworx:// record URI, present only when the source emits one that resources/read can actually serve, so a citation you get back is always fetchable. "standard" and "thorough" also return contradictions[] flagging findings that disagree. Large records are semantically excerpted to the passages relevant to each facet (not head-truncated), so answers deep in a long filing/series aren't missed. Expect 15-60s (thorough with its follow-up + contradiction pass: up to ~90s).
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  • Composite "should I add this npm package to my project" check in ONE call — fans out across deps.dev (license + advisories + version history) and bundlephobia (gzipped/minified bundle size, dependency count, ESM/tree-shake support). Use whenever an agent asks "is X safe / popular / small" or "what does adding lodash cost me". Returns a summary block (is_latest, license, published_at, advisory_count, bundle_kb_min, bundle_kb_gz, dependency_count, has_esm, tree_shakeable), per-advisory detail, links, and a list of recent alternative versions. NPM ecosystem only in v1; PyPI / Maven / Cargo / Go fall under deps.dev:version directly. Partial failures degrade gracefully — bundlephobia's first measurement on a new version can take 5-30s; sources_failed will list it if it times out, the rest still returns.
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  • Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. Call with NO args for a `trending_scan` of the top ~200 markets by weekly volume; pass `event` for the strongest per-event partition_check, or `topic` for a themed cross-event scan. `event` (recommended for a specific market): pass a Polymarket event slug like "fed-decision-may-2026" or "when-will-bitcoin-hit-150k"; walks child markets, checks date-axis / threshold-axis ordering AND computes the partition_check (sum of YES prices across mutually-exclusive legs — should ≈1; deviations >3pp emit a BUY/SELL EVERY LEG signal). `topic` (for cross-event scanning): pass a seed question like "Strait of Hormuz traffic returns to normal" or "Fed rate decision"; searches related events across the platform, flattens markets, runs the comparator on the union. Cross-event mode catches "...by May 31" vs "...by Jun 30" patterns that single-event misses. SEMANTIC ANCHOR: cross-event pairs require ≥0.30 Jaccard similarity on question tokens (prevents Powell-Fed-Pause being paired with Powell-DOJ-probe); skipped_low_similarity surfaces the rejected pair count. PARTITION FILTER: drops will-person-X / will-manager-Y / will-someone-else- placeholder slugs; partitions with >20% placeholder fraction return null arb signal. Response: opportunities[] (gap_pp, suggested_trade, reasoning, monotonicity violation context), and in event mode partition_check{sum_yes_prices, gap_from_1, placeholders_filtered, suggested_trade}. FILL CHECK: when the partition signal fires, arbitrage.fill_check prices it against live CLOB depth (theoretical_edge_pp_at_book vs realizable_edge_pp at 1000 shares/leg, thin_legs[]) — realizable_edge_pp ≤ 0 means the overround exists only at last-trade, not in the book; do not trade it. For custom sizing use polymarket_fill_risk.
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  • FINAL-STEP Leibniz Layer Crypto Commit ($0.01). Writes a trading/agent decision to the append-only Leibniz Layer audit chain and returns a Merkle-proof-style receipt: `tx_hash` (proof of this specific commit), `chain_hash` (the previous commit's hash, linking this one into the chain), and `chain_depth` (this commit's position in the chain). Unlike the evaluate_* tools, this call has no pass/fail verdict of its own — it always succeeds and simply seals the decision. Passing `prior_checks` is optional but recommended: it records which earlier pipeline steps (firewall/wallet/trade/MEV) this specific commit is downstream of, in one auditable record. Always run this LAST, after every other crypto-suite check has passed.
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  • Semantic search INSIDE a fetched record. Pass the text you already pulled (e.g. a SEC 10-K body, an article, a long tool result) plus a natural-language query; get back the top-N passages with character offsets and similarity scores. Use when the record is too big to cram into the prompt — search_within saves context, returns only the passages that matter, and every passage carries an offset so the agent can verify a verbatim quote. Pairs with ask_pipeworx_grounded: fetch with the gateway, ground over the relevant passages instead of the whole document. BGE-base-en embeddings + cosine over 500-char overlapping windows; cap is 200K chars (longer inputs are truncated and flagged).
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  • "What's the ticker for…" / "find the CIK for…" / "what's the LEI for…" / "what's the RxCUI for…" / "look up the ID for…" / "what is X's official identifier" / "who owns X" / "is X a subsidiary of Y" — resolve a user-spoken NAME to the canonical/official identifiers other tools require as input. Use FIRST whenever you have a name but need an ID. SUPPORTED TYPES: "company" (cross-source identity spine: 10-digit CIK + ticker + company_name from SEC EDGAR, legal-entity LEI from GLEIF with parent/ultimate-parent/children ownership when the LEI resolves, and security FIGI from OpenFIGI — by exact ticker map when a ticker is implied, and otherwise by name search, so NON-EQUITY instruments that never have a ticker (municipal and corporate bonds, notes, authority debt) DO resolve here; when a name matches more than one instrument it asserts nothing and returns `figi_candidates` to pick from, which is the correct answer to an issuer name that does not identify a single bond; every identifier is labelled with the source that established it, and an identifier that could NOT be resolved is stated explicitly under `unresolved` rather than omitted — accepts ticker, CIK, ISIN, or company name as input; an ISIN like "CH0038863350" resolves to the LEGAL ENTITY that issued the security via the GLEIF ISIN-to-LEI mapping, covering non-US issuers EDGAR cannot reach), "drug" (returns RxCUI + ingredient + brand from RxNorm + pipeworx://rxnorm/concept/{rxcui} citation; accepts brand or generic name). LEI/FIGI enrichment degrades gracefully — if GLEIF or OpenFIGI is unavailable, the EDGAR identifiers still return. Each call cascades through several lookup endpoints internally — using resolve_entity replaces 2-3 manual lookups.
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  • Pull fired events from your subscription feed. Returns the most recent alerts the evaluator has written to your persisted feed — each carries source, citation_uri (pipeworx:// when available), and the raw event payload. Filter by type (e.g. "sec_8k") and/or since (ISO timestamp). Set mark_read:true to flag returned events read so the next call only shows newer ones. Polls work fine; the same feed is also at GET registry.pipeworx.io/alerts.json for scripts and dashboards.
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  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • FAST Pre-Action Audit ($0.01). Runs the response through the server's "default" policy: a substring check against 3 forbidden phrases ("ignore previous instructions", "jailbreak", "bypass safety") with a 0.7 minimum-confidence threshold. Each forbidden match found costs 0.4 confidence; if confidence falls below 0.7, or any match is found, the verdict is NO_COMMIT and `reason` lists which phrase triggered it. Otherwise COMMIT. Use this as the default low-cost first-pass gate before a risky agent action; switch to dcl_evaluate_strict for a broader, higher-bar check, or to dcl_evaluate_jailbreak / dcl_evaluate_safety / dcl_evaluate_quality for a narrower, single-topic check instead of the general-purpose default policy.
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  • STRICT Pre-Action Audit ($0.05). Runs the response against a broader, higher-bar "strict" policy: the union of all forbidden phrases from the default, anti-jailbreak, and safety policies (8 phrases total), with a 0.85 minimum-confidence threshold instead of the default policy's 0.7. Each matched phrase costs 0.4 confidence; if confidence falls below 0.85, or any phrase matches, the verdict is NO_COMMIT with `reason` listing every match found. Use this instead of dcl_evaluate_fast when the cost of a false COMMIT is high — e.g. before an irreversible or high-stakes agent action — since it catches jailbreak- and safety-adjacent phrasing that the plain default policy would miss.
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  • PRE-ACTION Instruction Adherence Check ($0.02). Runs the "anti_jailbreak" policy: a substring check against 6 forbidden phrases ("ignore previous instructions", "jailbreak", "bypass safety", "pretend you are", "act as if", "DAN") with a 0.8 minimum-confidence threshold — each match costs 0.4 confidence. Returns COMMIT if no phrase matches and confidence stays at or above 0.8, otherwise NO_COMMIT with `reason` listing the matched phrase(s). Use this as a targeted, cheaper check when the concern is specifically prompt-injection / persona-hijack risk; use dcl_evaluate_strict instead when you also want safety- and default-policy phrases covered in the same call.
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