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

MCP server for the Federal Register of Legislation, enabling point-in-time searches, retrieval, and verification of Australian Commonwealth law, including citation checking.

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

Enables AI assistants to answer British Columbia employment law questions — overtime, breaks, statutory holidays, pay, leaves and termination — from the current official text on BC Laws, in English or Chinese, with the act, section number, link and official "current to" date. Exposes tools to locate acts, browse a table of contents, retrieve and search sections, and map everyday or Chinese terms to the wording the statute actually uses.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables AI agents to search and retrieve Indonesian national statutes, Perpu, government and presidential regulations, and Constitutional Court judicial-review outcomes from the State Secretariat and House of Representatives JDIH portals, including citations, legal status, amendment/revocation relations, struck-down articles, and signed PDF copies. Every tool is a keyless live call to official government sources.

Enables AI-powered legal research across 4,551 Luxembourg statutes, 260 case law decisions, and EU law integrations through natural language queries and 13 specialized tools.

Provides search, retrieval, and validation of Lithuanian statutes and provisions, including EU law cross-references, enabling legal research and compliance checks through natural language.

Enables AI agents to search AustLII (Australian Legal Information Institute) for real Australian legislation and case law. Provides citations with direct links for legal research and verification.

Enables natural language interaction with the Korean Personal Information Protection Act (PIPA) through 37 MCP tools that search, compare, analyze, and verify legal texts, official guidelines, and consulting cases from authoritative sources.

Enables LLMs to search Chinese statutes and verify legal citations locally, including detecting fabricated references in generated text. It supports natural-language queries, article lookup, and citation validation without registration, API keys, or network access.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

A specialized MCP server for Argentine legal professionals, enabling legal research, document processing, case analysis, and practice management through integration with official Argentine legal databases.

Provides structured access to EU treaties, regulations, directives, and CJEU case law via 14 tools for searching, retrieving, and analyzing legislation and court decisions.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

Provides AI assistants with locally bundled tools to explore NIST OSCAL models, retrieve schemas, list community resources, and generate valid OSCAL templates for governance, risk, and compliance workflows.

Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.

Lets AI agents browse and read a university's student resource center portal, retrieving the resource pages for a given admission year and department along with progression and graduation requirements, student handbook sections, academic calendars, bus timetables, class advisors, application forms and manuals, and contact information, each answer cited with its source document and page. It is an unofficial tool that runs locally and drives Chrome or Edge to access the portal on the user's behalf.