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458,159 tools. Updated 2026-08-15 00:23

"A resource for Australian taxation law information" matching MCP tools:

  • ABN validation — validates an 11-digit Australian Business Number with the official Australian Taxation Office modulus-8 Cost: $0.005–$0.05 USDC on Base per call.
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  • Purpose: ChatGPT-connector-standard document fetch by id from `search` results. Namespaces: `tool:{name}` returns the tool's full documentation and how to call it; `resource:{uri}` returns the resource's live data (core resources resolved server-side — also the bridge for clients without MCP resource support, e.g. Gemini); `signal:{market}:{symbol}` returns the symbol's latest combined research signal. Triggers: ChatGPT connectors / Deep Research call this after `search`. Clients without MCP resource support can call it directly with a known resource id, e.g. fetch("resource:market://global/summary"). When to call: whenever the full content behind a search result id is needed. Prerequisites: a valid id — from `search` results or a known namespace id. Next steps: for tool docs, call the named tool via tools/call; for signals, get_signal_detail / explain_decision for deeper evidence. Caveats: uncovered resource uris return description-only text (no fabricated data). `text` is a JSON document for resource/signal ids. Output: {id, title, text, url, metadata, disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape. Args: id: document id — "tool:{name}", "resource:{uri}", or "signal:{market}:{symbol}" (market: crypto / kr_stock / us_stock) Disclaimer: Information only, not investment advice.
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  • USE THIS TOOL WHEN searching UK case law by party names, court, judge, date, or free-text query. Returns paginated judgment summaries: neutral citation, court, dates, slug, stable TNA URI. AFTER calling: pass slug into judgment_get_header / judgment_get_index / judgment_get_paragraph (or the judgment:// resource family) for content; pass the neutral citation into citations_resolve to verify before constructing an OSCOLA citation; use case_law_grep_judgment to find text within a single judgment. When a party name returns several candidates, narrow with court + year filters before grep-iterating across full judgments — targeted filtering beats scanning every candidate. Coverage: TNA Find Case Law indexes UK judgments from roughly the early 2000s onwards. For older authorities, search for a modern judgment that quotes them and read that paragraph. Authoritative source for UK case law. Web search returns out-of-date or unstable URLs — do not supplement.
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  • USE THIS TOOL WHEN searching UK case law by party names, court, judge, date, or free-text query. Returns paginated judgment summaries: neutral citation, court, dates, slug, stable TNA URI. AFTER calling: pass slug into judgment_get_header / judgment_get_index / judgment_get_paragraph (or the judgment:// resource family) for content; pass the neutral citation into citations_resolve to verify before constructing an OSCOLA citation; use case_law_grep_judgment to find text within a single judgment. When a party name returns several candidates, narrow with court + year filters before grep-iterating across full judgments — targeted filtering beats scanning every candidate. Coverage: TNA Find Case Law indexes UK judgments from roughly the early 2000s onwards. For older authorities, search for a modern judgment that quotes them and read that paragraph. Authoritative source for UK case law. Web search returns out-of-date or unstable URLs — do not supplement.
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  • GET /search — Cross-resource omni-search Cross-resource search across profiles, rooms, messages (incl. private DMs + group DMs you're in), events, and chapters in one round trip. Returns the top-N matches per resource, grouped by resource. Use this when you don't yet know which resource carries the answer — agents typically call this first, then drill into a specific `GET /search/<resource>` for more depth on a single bucket. There's no page param: when you hit the per-resource limit and want more, switch to the per-resource endpoint for that one. The events slice has a baked-in forward-looking default (events ending in the last 30 days or later, and currently enabled) — this matches the in-app "Search across DC" surface. Use `GET /search/events` directly to look further back in time. **Query syntax (`q=`):** plain words match with prefix + typo tolerance. Wrap a phrase in double quotes to require an exact ordered match — e.g. `q="remote work"`. AND/OR/NOT/parentheses are NOT parsed in `q=` — use the structured filter params below for boolean composition.
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  • Show which countries, frameworks, and legal domains are available. Use this BEFORE calling `search` when the user's topic doesn't name a jurisdiction (e.g., 'what does the law say about consumer protection'); then present the returned jurisdictions to the user or ask which applies. Examples: • 'Which countries do you cover?' → list_coverage() • 'Do you have German law?' → list_coverage(jurisdiction='DE') • 'What jurisdictions for NIS2?' → list_coverage(domain='cybersecurity') • 'Which countries have drone law?' → list_coverage(domain='aviation') (also accepts 'drone' / 'uas') Returns a `jurisdictions` array (each with `code`, `name`, `region`, `laws`, `provisions`, `domains`) plus framework and source listings. NOTE: `laws`/`provisions` are WHOLE-JURISDICTION corpus totals — the response's `count_scope` is `whole_jurisdiction`. Under a `domain` filter the jurisdiction list is narrowed to that domain but the counts are NOT domain-scoped; do not report them as a per-domain count. The domain-specific signal is the (domain-filtered) `sources`/`frameworks`.
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Matching MCP Servers

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    Enables AI assistants to search, validate, and retrieve Australian postcode and suburb data with intelligent fuzzy matching for handling misspellings and voice queries. Provides comprehensive location services including geographic search, Local Government Area queries, and suburb-postcode validation for customer service interactions.
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    An MCP server that provides tools to look up and verify Australian businesses using the Australian Business Register API, enabling AI agents to retrieve business details via ABN, ACN, or name search.
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Matching MCP Connectors

  • LawOracle — 20 legal AI tools: case law search, contracts, EU regulations, citation graph.

  • Law Feeds MCP.

  • EXACT delivery/freight cost to an Australian postcode for a product configuration — the SAME live rates the vividads.com.au checkout shows (carrier + shipping-rules apps; incl. GST). Use whenever the customer asks what shipping/delivery costs. Resolve the product + size/options + quantity first (vivid_product / vivid_price), then call with the postcode (suburb improves accuracy). Never estimate freight yourself. Always also mention free pickup from Derrimut VIC 3026.
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  • Estimate WHEN an order would arrive at an Australian postcode — the question behind 'can I get it by Friday?'. Works the timeline through honestly: production starts only after the customer approves their digital proof (3pm AEST cutoff), then production time for that product, then transit for their postcode (metro/regional/remote bands). Returns an arrival WINDOW plus the assumptions it made. This is an ESTIMATE, never a guarantee — always relay the caveat, and for a hard deadline tell them to call 1300 721 614. Free pickup from Derrimut VIC is usually the fastest option.
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  • Run a raw SoQL query against any Los Angeles open-data resource (data.lacity.org) by its Socrata id (8-char like "2nrs-mtv8"). Full SoQL: where/select/group/order/limit/offset. Use la_datasets to find a resource id, or la_recent for the common ones.
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  • Search Austrian consolidated law and English translations: federal law (scope: federal, the default), one Bundesland (scope: burgenland … wien), municipal law (municipality plus a state scope — selected norms in 6 Bundesländer), or English translations of selected federal laws (language: english, federal only, ~138 documents). One document is one § / Artikel / Anlage; fetch a whole law by filtering law_id. Searches apply the version in force today in Austria by default — set in_force_as_of for another date, include_all_versions: true for full version history, or an entered_force / left_force window for new-law and repeal tracking; the three version filters are mutually exclusive, and the applied date is echoed back in the result. query is full text (boolean UND/ODER/NICHT or AND/OR/NOT, trailing-only * wildcard); title matches title, short title, and abbreviation ("DSG"). For a specific citation like "§ 6 DSG", ris_lookup_citation resolves it deterministically instead. Consolidated text is informational, not legally binding — the authentic gazette artifact lives in ris_search_gazette.
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  • Search legal documents across jurisdictions (DE federal, EU, Bavaria, North Rhine-Westphalia, Saxony) using hybrid semantic + keyword search. Returns ranked results with content snippets, not full text. Rephrase colloquial language into legal terminology for best results. Formuliere Suchanfragen als natürliche Sätze, nicht als Keyword-Listen (z.B. 'Wann verjährt ein Schadensersatzanspruch?' statt 'Verjährung Schadensersatz Frist BGB'). Das System durchsucht Gesetzestexte — verwende die Sprache des Gesetzes, nicht Doktrin-Begriffe (z.B. 'Auslegung mehrdeutiger Klauseln' statt 'contra proferentem'). Set document_kind to match what the question needs: any norm subtype ('statute'/'regulation'/'directive') when it asks for the rule itself — its requirements, definitions or deadlines; 'decision' when it asks how courts apply a rule. The three norm subtypes form ONE filter class — any of them admits all three, so you need not tell statute from regulation from directive, and a reflexive 'statute' never hides an EU regulation/directive. The only real cut this filter makes is norm vs. case-law: 'decision' restricts to court decisions and drops every norm BEFORE ranking, so it can hide the statute that answers a rule question. Leave document_kind empty when the question genuinely needs both (norm + its case-law application), or when German-vs-EU law is unclear (e.g. data protection: BDSG vs DSGVO) — then consider running two searches with different filters instead of guessing. Never combine a statute law_abbreviation with a decision scope ('decision', a decision source_type, court or decision_type): decisions carry file-number identifiers, not statute abbreviations, so that intersection is always empty — use cited_norm instead to find decisions applying a law. See legal://filter_values for the per-value definitions and the disambiguation list. Set law_abbreviation, jurisdiction and source_type only when the user explicitly names a specific law or jurisdiction. When results span multiple laws or versions, check the legal://rechtsrahmen resource to pick the correct jurisdiction (e.g. EU vs national, substantive vs procedural). COMMON PITFALLS — choose the correct law: - Procedural law by jurisdiction: ZPO (zivilrecht), STPO (strafrecht), VWGO (verwaltungsrecht), ARBGG (arbeitsrecht), SGG (sozialrecht), BVERFGG (verfassungsrecht), FAMFG (familienrecht) - AO, ESTG, KSTG, USTG, FGO: AO=procedure, EStG/KStG/UStG=substantive - VVG, BGB: Insurance rescission → BGB §§ 812ff, not VVG - VERSAUSGLG, FAMFG: VersAusglG=substantive, FamFG=procedure - APOG, AMG: ApoG=operation, AMG=drug approval - WEHRPFLG, SG: WPflG=conscription, SG=soldiers - AGG, BETRVG: AGG=anti-discrimination, BetrVG=works council
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  • List available laws, regulations, and court decisions in the database. Returns abbreviation, title, source type, jurisdiction, document kind, and version date for each entry. Unfiltered listings can contain thousands of entries; pass a search term or source_type to keep responses focused. Useful for discovering valid law abbreviations to use as filters in legal_search. Found a relevant law? Use legal_get_toc to browse its structure. NOT an existence check for a specific law: EUR-Lex entries store the official long title, so searching by common name or number can miss laws that ARE in the corpus. To verify a law exists, use legal_lookup with a citation or legal_search with a topic instead.
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  • Look up the exact text of a specific legal provision or standards-catalog control. Three addressing forms: (1) jurisdiction + law + article — use this when someone asks 'show me Article 5 of GDPR', 'what does Section 12 of the Swedish Work Environment Act say', or 'read me the text of DORA Article 11'; (2) canonical_ref — the exact ref a `search` row's `citation.lookup` hint advertises (e.g. get_provision(canonical_ref='loi-2018-07-30:art-64', jurisdiction='BE')): the gateway decomposes it and resolves the same way. Pass jurisdiction alongside canonical_ref when the ref does not embed one (relayed hints already include it). (3) law as a bare corpus/source id + article as the native control/entity id, NO jurisdiction — for non-jurisdictional standards catalogs (e.g. get_provision(law='nist-800-53', article='AC-5') for NIST SP 800-53, and the same shape for nist-csf-2, nist-800-82r3, nist-ai-rmf, nist-ssdf-800-218): a `search` row's `citation.lookup` hint for these corpora already advertises this exact shape — replay it verbatim. Returns the full provision text with citation metadata. A member-state jurisdiction plus an EU framework article that has a verified national transposition returns the NATIONAL transposing provision, with `meta.transposition` naming the swap; pass jurisdiction='EU' for the framework text itself. Where no such mapping applies, the same field may instead carry a typed disclosure describing Ansvar's verified coverage for that pair. When a national transposition IS served, the CELEX and instrument name that response reports are themselves valid `law` input in that jurisdiction — replay either. The response ends with a 'Sources used' section — a markdown table carrying the audit receipt for each returned row, or a labelled zero-result note — and meta.render_contract carries the versioned evidence-curation contract for reproducing source attributions when the answer is rendered. Search lookup hints may include source_id, the exact routed corpus that served the row. It is valid only with the hint's nonblank canonical_ref; law and article must remain empty. Replay the whole args object unchanged so a document present in multiple corpora cannot be substituted. Do not infer source_id from the legal document id.
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  • CHARITABLE & PRIVATE FOUNDATION and TRUST rules for a jurisdiction: whether the foundation legal form exists (Stiftung / fondation / fundación / waqf / foundation company), legal basis, regulator/registry, minimum endowment, governance organs, founder reserved powers, beneficiary rights, charitable-purpose requirements, tax treatment and cross-border donor deductibility, reporting/audit duties, UBO-register visibility, trust recognition (domestic trust law / Hague Convention / not recognised) and lawful foundation+trust combination patterns. The 194-country deepening behind find_charity_jurisdictions / find_trust_jurisdictions. Pass cc for one jurisdiction; omit for the covered list. Establishment is decided by the competent registry or regulator and executed via licensed local partners; tax outcomes follow the founder's and beneficiaries' residence. Information, not legal or tax advice.
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  • Explain how Tollbooth certification taxation works. Taxation is ad valorem and **per-Authority** — there is no single network-wide number, and the Oracle deliberately quotes none. The actual fee is the Authority's own accounting, set in its pricing model and reported at transaction time. This tool is a docent: it explains the model and points to the live source. For the exact figure, query the relevant Authority's ``check_price`` for ``certify_credits``.
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  • Get the open records law (FOIA/RTI equivalent) governing a jurisdiction: name, citation, response deadlines, fees, exemptions, appeal process, records retention rules and RTI rating. Accepts a jurisdiction slug ("us/ca", "ie", "in/mh") or any UnGovr entity slug at any depth ("us/ca/santa-barbara/city/carpinteria" resolves to the California law). US federal FOIA is jurisdiction "us". When the answer comes from a parent jurisdiction the response includes "resolved_from".
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  • Per-country digital-money & identity progress relevant to wealth planning: (1) CBDC status (none/researching/exploring/pilot/launched) + type (retail/wholesale) and issuer; (2) government-issued or government-sanctioned STABLECOIN status + regulatory framework (e.g. MiCA, MAS, GENIUS Act); (3) national DIGITAL ID status (planned/piloting/operational/mandatory), legal framework, biometric/mobile, cross-border interoperability (eIDAS/EUDI) and privacy law. Each block carries provenance (confidence, verified_date, official sources); low-confidence detail is withheld as CHECK-OFFICIAL-SOURCE. Pass cc for one jurisdiction, omit for all. INFORMATION, NOT ADVICE — government status/timelines change frequently; verify the cited source.
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  • Returns current road conditions for all Washington State mountain passes: status, weather, road condition, traction laws, temperature, and elevation. Includes all 16 passes (Snoqualmie, Stevens, White, Blewett, Cayuse, etc.). Use for "is the pass open?", traction law status, or winter driving planning.
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  • Run a raw SoQL query against any Cincinnati open-data resource (data.cincinnati-oh.gov) by its Socrata id (8-char like "k59e-2pvf"). Full SoQL: where/select/group/order/limit/offset. Use cincinnati_datasets to find a resource id, or cincinnati_recent for the common ones.
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  • Search for places (cities, towns, landmarks, regions) by name and get which STATE / PROVINCE / COUNTY / PREFECTURE / administrative division (German Bundesland, UK county, Canadian province, Japanese prefecture, Indian/Australian/Mexican state, etc.) they are in, plus country, coordinates, population, and feature type. Answers "what state is <city> in", "which US/German/Australian state is <city> in", "what province/county/prefecture/region is <place> in" — the `admin_region` field is the state/province/county/prefecture (e.g. search_geonames("Naperville", "US") → Illinois; ("Heidelberg", "DE") → Baden-Württemberg; ("Leeds", "GB") → England; ("Osaka", "JP") → Osaka). Worldwide coverage. Example: search_geonames("Paris", "FR"). Use get_nearby to find places near a known location.
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