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744,978 tools. Updated 2026-11-05 01:34

"Information about medical law" matching MCP tools:

  • The thirteen controlled vocabularies the enforcement filters accept — matter_type, matter_status, forum_type, party_role, party_kind, relief_type, event_type, ai_role, law_relation, verification, jurisdiction_level, pii_class and redaction_policy. Call this to get valid values for search_enforcement_matters instead of guessing them. Free at every tier, no key needed. Data by AI Law Tracker (CC BY 4.0). Informational only — not legal advice.
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  • Retrieve The Hill Kinabalu’s official public wedding venue and 2026/2027 package information, including capacity, event sizes, starting package prices, key inclusions, add-ons without prices, payment structures, and enquiry links. Use this when someone asks about weddings, wedding packages, the event venue, guest capacity, package pricing, or how to enquire. This tool does not check date availability or submit an enquiry.
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  • Return the persisted markers + AI analysis (Summary, KeyFindings, Recommendations, DetailedExplanation) for a specific medical-test the authenticated patient owns. Use after mediora__get_patient_history surfaces a test id the user wants to discuss. Bearer token must be a Mediora patient-scope JWT. Proxies https://api.mediora.ai/api/medical-tests/{id} with the user's token forwarded as Authorization: Bearer.
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  • One curated landmark bill by slug: its core fields, tiered source URLs, citations (identifier + audited aka), and cross-links. Where a matching live record exists, the response binds the change-timeline link (use get_law_history). Served from the primary-sourced registry (no LLM); a missing binding simply omits the history link, never fabricates one. Use list_bills for valid slugs. Data by AI Law Tracker (CC BY 4.0). Informational only — not legal advice.
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  • Fetch complete, structured information about a single Amazon product: title, brand, images, feature bullets, description, Buy Box price and availability, Prime eligibility, rating and review count, Best Sellers Rank, category path, variants, specifications, and top reviews. This is the primary tool for product analysis, listing enrichment, and price monitoring. Use this tool when you need a full product profile. If you only need competing seller prices, use get_product_offers instead (cheaper context). If you only need the sales rank, use get_bestseller_rank. If you only need shipping dimensions or the FBA fee category, use get_package_dimensions. Provide EITHER the identifier field OR url — never both. Costs 1 credit; set a_plus_content to true only when the user explicitly asks about enhanced brand content, as it costs 1 extra credit.
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  • Staff headcount and list for one GDC facility, from a GDC-produced roster. Answers "how many staff work at X", "how many officers work there", "list the staff at X". `slug` is the facility slug, e.g. 'dooly-state-prison' (use list_facilities to find it). `title` optionally filters by job title. GDC abbreviates heavily: correctional officers appear as "Correctional Ofc", clerical staff as "Admin Support" or "Admin Assistant". Try both the plain word and the abbreviation. ALWAYS report the `observed` date alongside any figure from this tool. A roster is a single-day observation, not a statement about who works there today. A zero for a role is a finding about the roster rather than missing data: the roster holds no nursing, physician or dental titles anywhere in GDC, which is consistent with medical staffing being contracted rather than directly employed. Do not assert that reason as established fact.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI tools to locally query authoritative medical sources like FDA, WHO, PubMed, RxNorm, and related APIs for drug information, health statistics, clinical guidelines, trials, and medical literature without API keys.
    97 npm
    ISC

Matching MCP Connectors

  • Submits an enquiry to PPC for law firms — 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 to be contacted about this enquiry by the company that runs this site."
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  • Search Taiwan (ROC) law articles by legal concept, keyword, or a specific article reference. Backed by a Qdrant hybrid (dense + bigram-sparse, RRF-fused) search over a curated set of major Taiwan laws and regulations (laws only, not court decisions). Use it when you don't yet know which article applies. Use get_article_by_number instead when you already know the law and article number, search_law_titles to resolve a law's official name, and search_decisions for court rulings. Returns matching articles with law name, article number, relevance and text; historical versions are marked.
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  • Use this when asked what a Portuguese home-buying or tax term means (CPCV, escritura, VPT…), with where it comes up and the article of law with a link. Do not use it to calculate anything: purchase taxes are `imt_calculate`, the yearly tax `imi_annual_cost`. Without `term` it lists all terms. A term without a translation comes in English; an unknown one is refused with close spellings, if any.
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  • Get the FULL TEXT of a section of the New York Consolidated Laws — New York state statutes — by citation. "Penal Law 125.25" is law "PEN", section "125.25". Returns the statutory text, its heading and the date that version took effect. Use for "what does NY Penal Law 125.25 say", "text of New York Labor Law 240", or to check a New York statute a case or contract relies on.
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  • Keyword search across FDA regulations — US Food & Drug Administration rules in 21 CFR. Answers "what FDA regulations cover X", "the FDA regulation / rule about X", "find the FDA requirement for X". Great for topics: good manufacturing practice (GMP / cGMP), quality system regulation, medical device labeling, drug labeling, nutrition facts / food labeling, new drug applications, dietary supplements, cosmetics, biologics, controlled substances, current good manufacturing practice for drugs and devices. Returns matching FDA regulations with citation (21 CFR), heading, excerpt, and source URL. This searches FDA REGULATIONS (regulatory text); for FDA DATA (drug labels, adverse events, recalls) use the openfda tools. Example: fda_search({ query: "medical device labeling" }); fda_search({ query: "good manufacturing practice", limit: 15 }). Keyless.
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  • Fetch a Japanese law/ordinance by its e-Gov law id (from search_laws), e.g. "415AC0000000057". Returns the title, law number, promulgation date, and the law's full text, PAGED — use `offset`/`limit` to walk a long law; `has_more`/`next_offset` say whether another page follows. For a single article (incl. branch articles like 第二十七条の2), use japan_law_get_article instead — it is far cheaper than paging a whole law to find one provision. Pass `as_of` (YYYY-MM-DD) to fetch the version of the law in force on that date. Source: e-Gov 法令検索.
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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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  • 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; legal_get_toc shows a listed law's structure. Not an existence check for a specific law: EUR-Lex entries store the official long title, so a short name or number can miss a law that is in the corpus. legal_lookup with a citation or legal_search with a topic provides alternative retrieval paths; a missing match does not prove absence from the corpus.
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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') • 'Which countries have court decisions?' → list_coverage(content_kind='court-decisions') Returns a `jurisdictions` array (each with `code`, `name`, `region`, `laws`, `provisions`, `domains`, `content_kinds`, `counts_complete`, and `uncounted_sources`) plus framework and source listings. An incomplete-count row also carries `coverage_note` explaining why. 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`. Search in the corpus's primary language (en), then fetch the hits in the user's language with the `language` argument of get_provision (a code, or a short list of codes for versions side by side).
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  • Get care plan material for a specific NANDA-style nursing diagnosis: its definition, related factors (the "related to" clause), defining characteristics (the "as evidenced by" clause), SMART goals, interventions, and the conditions where it is a priority. Use when a nursing student asks about a diagnosis rather than a disease, for example "risk for infection", "acute pain", "impaired gas exchange", "ineffective coping" or "risk for falls", or asks how to write a three-part diagnosis or an AEB statement. Educational reference, not medical advice.
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  • Hybrid keyword + semantic search over the public pages of vascue.io: healthcare-operations guides, Vascue Front Desk for clinics, provider-side insurance-claims automation, practice-management integrations (two-way sync with Cliniko and Nookal; Jane, Mindbody, PracticeHub, HexaHealth, Halaxy, Clinicea, ClinicOffice, Semble, Plato Medical and JERA in progress), security and compliance pages, case studies, pricing and blog posts. Use it to answer questions about what Vascue offers, how its products work and what it has published. One topic per call; cite the returned page URL for every excerpt you use. Returns a JSON text payload: result.chunks[] ordered by relevance, each with text (a Markdown excerpt), score (0-1, higher is better) and item.metadata.url (the canonical https://www.vascue.io/... page). Off-topic queries still return the nearest chunks, so treat scores below about 0.5 as weak evidence and say so when the site does not cover a topic. Read-only and idempotent; no authentication; 60 requests per minute per client. Public content only: never send patient information, claim documents, clinic credentials or booking requests. It cannot book appointments or look up clinic data.
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  • Hybrid keyword + semantic search over the public pages of vascue.io: healthcare-operations guides, Vascue Front Desk for clinics, provider-side insurance-claims automation, practice-management integrations (two-way sync with Cliniko and Nookal; Jane, Mindbody, PracticeHub, HexaHealth, Halaxy, Clinicea, ClinicOffice, Semble, Plato Medical and JERA in progress), security and compliance pages, case studies, pricing and blog posts. Use it to answer questions about what Vascue offers, how its products work and what it has published. One topic per call; cite the returned page URL for every excerpt you use. Returns a JSON text payload: result.chunks[] ordered by relevance, each with text (a Markdown excerpt), score (0-1, higher is better) and item.metadata.url (the canonical https://www.vascue.io/... page). Off-topic queries still return the nearest chunks, so treat scores below about 0.5 as weak evidence and say so when the site does not cover a topic. Read-only and idempotent; no authentication; 60 requests per minute per client. Public content only: never send patient information, claim documents, clinic credentials or booking requests. It cannot book appointments or look up clinic data.
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  • Full-text search of Pakistani judgments (Supreme Court, High Courts, Federal Shariat Court and tribunals, 1970 onward), with optional filters by court, judge, author, law report and year. Ranking follows how lawyers research: nearness to the legal point decides which cases are returned; among comparably-near cases, more senior court > larger bench > more recent > more cited. For the current state of the law, add year_from (e.g. 2025); use sort='court' for the most authoritative first. With no query, the filters list judgments newest first - e.g. court='Supreme Court' gives the latest Supreme Court judgments, journal='PLD' with year_from=year_to=2024 gives that volume, and sort='recently_added' alone shows what was added to the site most recently. Returns cases with id, title, citation, court, year, outcome, author (the judge who wrote it, when known) and the public URL; a keyword search also gives the number of judges on the bench and the words of the judgment that matched. For an exact report citation use caselaw_lookup_citation. To read a case, pass its id to caselaw_get_case.
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  • Authoritative text of one provision, with in-force window, repealed/prospective status, concept tags, transposition edges and full provenance. `stand` says what date the served text speaks as of (`consolidated` with a date, `as-adopted`, or `unknown`) and carries the one-line `sentence` to show a reader — answer questions about currency from it, not from `inForce`, which is when the version's validity starts. Use `asAt` (YYYY-MM-DD) for point-in-time law only where the held expression has an explicit validity window covering that date. Otherwise the tool returns the stable `date_not_covered` refusal; omit `asAt` to request current text. Machine translation is not exposed through this connector because generating a new rendering is not a read-only action. Use sourceLang to select a held source language (three-letter code), including with asAt; this never translates. structure carries immediate parent/child addresses in the selected expression. An empty container text is not missing law: follow children with the same sourceLang and asAt. Use term_languages for authentic multilingual terminology held by the corpus. `gated.citedByArticle` says HOW MANY provisions of other instruments name this article and names those instruments; the rows themselves — which provision, which citation — come from provision_context. The provision text is always free. Only the derived counts (`gated.citedByArticle`, `gated.nationalMandate`) and the analysis behind them require an API key on a signed-in account.
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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; legal_get_toc shows a listed law's structure. Not an existence check for a specific law: EUR-Lex entries store the official long title, so a short name or number can miss a law that is in the corpus. legal_lookup with a citation or legal_search with a topic provides alternative retrieval paths; a missing match does not prove absence from the corpus.
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