MCP App Store
by KeenEthics

Overview

Nylon gives ChatGPT direct access to primary legal source material across New Zealand, Australia and the UK — legislation, case law and commentary (including government guidance) — so answers to legal and tax questions are grounded in real, current sources. Ask a question in plain language and Nylon runs keyword and semantic searches across the library. It handles precise lookups, as well as open research. Every result carries citation links to the original, so you can verify what you're reading and cite it with confidence. Nylon is built for lawyers, tax advisers and anyone who needs trusted and meticulous legal research.

Tools

read_document

ChatGPT
Read WITHIN a single document from the Nylon legal library, or read passages around a known extract. Use this after search_library has identified a relevant document (by documentId) or extract (by chunkId). Three modes, chosen by the field combination: - Whole document: pass only documentId. Returns the whole document, capped at ~50,000 tokens. If it is longer, only the first portion is returned — use search-within for the rest. - Search within: documentId + a "phrase". Returns the most relevant extracts inside that document. Pick searchType="keyword" for exact strings/citations or "semantic" (default) when you are unsure of the wording. - Adjacent: documentId + an "extractId" (chunkId). Returns the extracts immediately above and/or below that chunk — useful for reading the context around a passage or continuing past a cut-off. Choose direction via position (defaults to both). Returns extracts with their text, identifiers (chunkId / documentId), and a clickable resolver link. When citing a source, use ONLY the link field from the result. Never construct, guess, or recall a source URL yourself — in particular do not link to austlii.edu.au, nzlii.org, or other external case-law databases. If a result has no link, cite it by title without a URL.

search_library

ChatGPT
Search the Nylon legal library (legislation, cases, and commentary across NZ, AU and the UK). WHEN TO USE: Call this tool whenever a question could possibly require tax or legal knowledge — including statutes, regulations, case law, legal procedure, compliance, contracts, tax rules/rates/filing, or any "is this allowed / what does the law say" question. Do NOT answer from memory for these; your training data may be outdated, jurisdiction-specific, or wrong. If there is any doubt about whether a question touches law or tax, search first. It is better to search unnecessarily than to give an unsourced legal or tax answer. Provide one or more searches (max 5) — they run in parallel and each returns one batch of fused results (starting from the first result by default). Pass offset to skip results and limit to change the batch size; when a search block reports "More results available", call again with the offset it suggests. Paging is stateless (a skip count only, no cursors). Filters are FACET SLUGS (jurisdictions: nz | au | gb; practiceAreas: slugs like "tax"; contentTypes: cases | legislation | commentary). Values within an array are OR-combined; fields are AND-combined. Unknown slugs are rejected with a hint, never silently ignored. JURISDICTION: If the user's question names or clearly implies a jurisdiction (New Zealand → nz, Australia → au, United Kingdom → gb), you MUST set the jurisdictions filter to match. Leaving it blank searches ALL jurisdictions and ranks purely by how much content each has, so a New Zealand question can come back full of Australian material. Only leave it blank when the user genuinely wants all jurisdictions, or none is implied. Returns ranked extracts with a clickable resolver link and identifiers (documentId / chunkId) that read_document can use to fetch more. Each result also carries its documentType facet slug, reusable in future filters. When citing a source, use ONLY the link field from the result. Never construct, guess, or recall a source URL yourself — in particular do not link to austlii.edu.au, nzlii.org, or other external case-law databases. If a result has no link, cite it by title without a URL.

Example Prompts

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