"Infrastructure Administration Resources and Information" matching MCP servers:

An MCP server for AI economy infrastructure with built-in EU AI Act compliance, supporting risk management, transparency, and bias detection.

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

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.

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.

Medicare claim documentation lookup for CPT codes against live CMS sources, returning structured requirements and document URIs with optional enrichment via RCI APIs.

Enforces Awaken Church's governance policies by scanning content, correcting language, blocking unauthorized integrations, routing projects, and flagging content for review.

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.

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.

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.

Trust and quality infrastructure for AI agents. 233+ quality-scored capabilities for company data, compliance checks, financial validation, and more. Every capability has a transparent SQS quality score. Audit trails on every call. EU AI Act support.

Enables local SOC 2 compliance work by scanning Infrastructure-as-Code, mapping findings to SOC 2 Trust Services Criteria, explaining risks in plain English, and drafting audit-ready documents without uploading files.

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.

Austria's legal information system (RIS): federal & state law, case law, gazettes, change monitoring.

Scans source code for possible Korean compliance risks (PIPA, Network Act, Credit Information Act, E-Commerce Act) and maps findings to specific legal provisions. Runs locally, exposes MCP tools for scanning and law lookup, and does not constitute legal advice. That's hedged (matches the project's "possible risk / not legal advice" rule), keyword-rich for search, and names all four laws.

MCP server that exposes Italian workplace safety data (D.Lgs 81/08) to any MCP-compatible AI assistant, providing tools and resources for querying ATECO sectors, required training courses, renewal schedules, glossary terms, and regulations.

Enables LLM agents to extract, validate, and mask personally identifiable information using deterministic regular expressions, reducing token usage and hallucination risks.