"Information about Threat Intelligence" matching MCP servers:

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

Provides GCC regulatory intelligence including ZATCA e-invoicing, Arabic NLP, UAE Corporate Tax, and compliance tools for AI agents via the Model Context Protocol.

Provides business intelligence, compliance tools, and economic data for Latin America, including Brazilian company lookups, tax ID validation for multiple countries, and economic indicators from official government sources.

Enables AI agents to log, evaluate, and ground consequential decisions against an organization's authority graph, creating a traceable audit trail for governance.

MCP server for a compliance knowledge graph covering 686 frameworks, 21,696+ controls and 310K+ cross-framework mappings, with tools to map controls between two standards and run coverage analysis. Node and Python implementations over stdio, plus a hosted streamable HTTP endpoint.

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 that analyzes legal documents, extracts key clauses, identifies risks, and summarizes contracts. 8 tools for AI agents needing legal document intelligence.

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 agent clients to perform read-only regulatory retrieval through tools for searching the corpus, retrieving source text, tracing citations, listing authorities, and inspecting recent filings. It is designed to keep regulated actions and workspace changes behind human review gates.

Enables querying cannabis testing limits, controlled substance schedules, and compliance requirements across US states, UN/EU, and Health Canada jurisdictions with source-linked data.

Enables AI assistants to perform institutional-grade research by retrieving and validating company, financial, industry, news, litigation, and funding data, then generating cited reports in Markdown, HTML, or PDF.

Enables checking cosmetic ingredient safety and multi-jurisdiction compliance across 12 regulatory bodies, backed by a comprehensive dataset of safety opinions and studies.

MCP server that enables intelligent analysis of legal spend data across multiple sources (LegalTracker, databases, CSV/Excel files), providing features like spend summaries, vendor performance analysis, and budget comparisons.

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.

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.

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.

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.

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

Enables MCP-compatible agents to query security checklists, protocols, and framework mappings to safely build and operate AI agents, with tools for checklist runs, protocol lookup, mapping lookup, and threat search.