"Hybrid Memory Models Combining Relational, Graph, and RAG Approaches" matching MCP servers:

Serves legal retrieval-augmented generation over Brazilian federal legislation, returning exact statutory text with URN-LEX and Planalto URLs to prevent hallucination, running locally with optional GPU acceleration.

Provides access to 529,000+ US statute sections across all 50 states and federal codes for comprehensive legal research. Supports semantic search, citation graph traversal, jurisdictional comparisons, and regulatory risk analysis through natural language queries.

Semantic and exact retrieval over 22M Taiwan court judgments with built-in citation guardrails — bundles carry a read-whitelist so downstream models cannot cite judgments whose reasoning was never read. Also provides exact lookup of administrative interpretations with lifecycle status (repealed / superseded / unverified).

Enables Claude to retrieve and cite clauses from Korean national R&D manuals using RAG, grounding answers with accurate provision references.

Enables semantic search over Turkish legal contracts and emails via an MCP server integrated with Claude Desktop and Claude Code, providing tools for document ingestion, hybrid vector search, and full-text retrieval.

A legal-tech focused system that coordinates specialized agents for document classification, deadline extraction from Spanish legal texts, and strategic business intelligence. It integrates with Claude via MCP to provide semantic document search and automated deadline tracking using a Supabase vector database.

Deterministic US equity-compensation tax optimizer. Six tools cover ISO/AMT exercise scheduling, NSO sell-vs-hold, RSU vest-and-sell, single-stock concentration, protective put / zero-cost collar pricing, and Section 1202 QSBS qualification. Federal plus 50-state plus DC tax math.

Enables semantic and keyword search over legal documents, conflict detection, and document overview, supporting Indonesian and English texts.

A server for querying, practicing, and analyzing exam questions from Taiwan's national examinations, offering 20 tools including search, statute lookup, weak topic review, and readiness assessment.

Enables high-performance access to USPTO Final Petition Decisions API with intelligent context reduction (80-99%), customizable fields, hybrid document extraction (free PyPDF2 + Mistral OCR fallback), and seamless cross-MCP integration for complete patent lifecycle analysis including prosecution history, PTAB challenges, and citation intelligence.

Enables analysis of legal document changes by constructing a dependency graph and simulating impact propagation, with risk level assessment.

Provides deterministic fair-housing and advertising compliance checks for US real-estate listings, with rule explanations and rewrite suggestions, ensuring models cannot override the verdict.

Enables searching and retrieving Dutch case law (uitspraken) via the Rechtspraak Open Data API, including full text and citation graph exploration.

Provides deal mechanics for creators to understand and negotiate pricing models, usage rights, and negotiation moves, based on structure rather than rate quotes.

Enables AI models to search and retrieve legal documents, magazine issues, comments, and related references from the Linde database (linda.lindeverlag.at) using the Model Context Protocol.

Japan Operations OS for AI agents — 14 knowledge domains covering regulations, protocols, calendar, travel, food culture, language, disaster safety, daily life, and persistent memory. 31 MCP tools via REST + Streamable HTTP.

Enables querying Korean legal knowledge graph with 160K precedents and 130K statutes via MCP tools for relation exploration and semantic search.

Enables natural-language validation of IFC models against Türkiye's building-permit BIM regulation, including compliance checks, EK-9 form generation, and queries about required classes and properties.

Enables querying a dataset of Japanese advertising-law enforcement actions, offering search, retrieval, recent listings, and statistical summaries so models can cite real orders rather than inventing them.

Enables AI models to access IBM FileNet Content Manager capabilities including document management, property extraction, legal holds, and AI-powered document insight through standardized MCP interfaces.