"Web scraping and content extraction" matching MCP servers:

Enables EU AI Act Article 50(2) compliant watermarking of AI-generated content using C2PA manifest envelopes.

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.

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.

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 Canton Zurich legislation (ZH-Lex) — full-text search, article extraction, and education law tools for ~970 cantonal laws.

Let any MCP client issue and verify EU AI Act Article 50 transparency receipts for AI-generated content, anchored to Bitcoin.

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.

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.

Checks AI-generated social media and ad content against current policies of 8 major platforms, flagging risky phrases and providing compliant rewrites to prevent account restrictions.

Enables searching UK case law on BAILII and retrieving judgments with automatic section extraction (summary, conclusions, etc.). Runs locally to avoid BAILII's cloud IP blocks.

Enables AI agents to permanently remove personally identifiable information from PDF documents, returning redacted files with the sensitive text deleted rather than merely covered. Supports scanned documents, multiple languages, entity types, and optional human review.

MCP server that integrates ByeRisk's content compliance detection into AI assistants, enabling text, image, and video compliance checks with risk details and rewrite suggestions.

Enables law firms and legal professionals to turn Arabic and English contract files into structured, citable context, with clause segmentation, date conversion across Hijri and Gregorian calendars, party extraction, and anchor-based verification, all without API keys or network calls.

Enables capturing evidence, retrieving platform takedown processes, and drafting DMCA/legal notices for content removal, using the Official AI API.

Provides automated EU AI Act compliance tools, including risk classification, role determination, transparency disclosures, content watermarking, deepfake labeling, and security threat detection.

Enables users to search and retrieve Australian legislation and case law with full-text content extraction. Provides structured results with citation metadata and OCR support for archival PDFs.

Search Brazilian jurisprudence on JusBrasil in natural language and retrieve formatted citations for legal documents, including metadata extraction from court decisions.

Source-verified regulatory and compliance intelligence: 10,000+ obligations across 39 pillars, each grounded in a primary legal source with a content hash. Covers the EU AI Act, GDPR, DORA, NIS2, HIPAA, Basel III and the MITRE ATT&CK/ATLAS families.

Provides a local-first MCP server for multi-format document redaction, enabling detection of sensitive content, physical removal from PDFs, DOCX, XLSX, PPTX, and text files, and forensic audit with zero network calls.

Enables AI attribution audits and quick transparency checks on written content, providing authorship analysis and segment breakdowns for editorial review.