"Information about Neo4j graph database" matching MCP servers:

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

Provides a per-person MCP interface to a knowledge graph of legal matters, enforcing OPA-based access barriers and logging every request in a hash-chained audit trail.

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.

Provides access to Canadian federal parliamentary data (debates, bills, MPs, votes, Hansard transcripts) and legal information (case law and legislation through CanLII) for research and analysis.

MCP server for searching French and European law, providing natural language access to jurisprudence, consolidated legal texts, and related legal information via tools like search_decisions and search_legal_texts.

Official MCP server for the EU AI Act. Search and access Articles, Recitals, Annexes, timelines, obligations, prohibited practices, GPAI requirements, conformity assessments, and compliance information across all 24 official EU languages.

Connects AI clients to Argentina's official legal database (SAIJ) to search and retrieve court rulings, legislation, summaries, and legal doctrine. It enables users to perform keyword searches and fetch detailed metadata and summaries for Argentinian legal research.

An MCP server for searching the Jurisprudencia de Buenos Aires (JUBA) database for legal summaries and full-text judicial rulings. It enables AI assistants to perform advanced searches across various legal matters from the Supreme Court of the Province of Buenos Aires.

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

Agent-friendly query layer over the ASD Information Security Manual, served via MCP. Enables agents to discover and interrogate ISM controls using plain language queries and coverage tracking for IRAP review.

Securedact MCP is a local-first privacy layer for MCP-compatible AI workflows. It detects, reviews, redacts, and audits sensitive information before approved sanitized content is used downstream.

Enables MCP clients to search Colombian energy and gas resolutions and legal opinions, read them in chunks or by internal search, and explore each rule's regulatory graph with validity computed from the texts themselves.

MCP server for FOLIO, the Federated Open Legal Information Ontology. Makes the full ontology available to AI agents as searchable, browsable tools.

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

Provides access to Polish court judgments from the SAOS database. Enables search and retrieval of judgments with full-text search, filtering, and detailed case information.

Enables users to search Korean National Tax Service tax law interpretations (예규) and retrieve their full body text as plain text from the National Tax Law Information System, complementing the korean-law MCP server that only provides list metadata.

Read-only MCP server that exposes the anonym.community privacy research corpus via typed tools, letting agents search 1,478 PII pain points, jurisdiction laws, FAQ entries, and 1,600+ papers with citations. Enables precise, citable answers about privacy law and data-protection issues directly from MCP clients.

Answers questions about the FedRAMP Consolidated Rules for 2026 using search and retrieval tools on the authoritative source text with citations.

Enables Claude Desktop to search the CanLII Canadian legal database and retrieve the full text of matching legal documents.

This MCP server enables searching and retrieving Romanian legislation from the Portal Legislativ database via its SOAP API, providing metadata and full text with verifiable citations.