"Extracting Orders from PDF Files" matching MCP servers:

Enables read-only listing and reading of files in an Azure Files SMB share, enforcing each user's NTFS permissions per request.

MCP server for local, verifiable PDF redaction. Enables AI agents to find sensitive regions, locate text, redact PDFs on-device, verify redaction and tamper-evidence seals, and generate PDFs—without uploading confidential documents.

Anonymizes documents via the Stript desktop app locally, ensuring personal data never enters the conversation. Provides tools to anonymize files and clipboard content, fetch results, and restore original values to local files.

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.

Enforces mandatory human approval before LLM agents can edit files, create files, or execute shell commands, using session tokens and audit logging.

Enables passive security scanning of HAR files from QA test automation to detect missing security headers, insecure cookies, CORS misconfigurations, and leaked secrets, without making any live requests.

Exposes Adobe's User Management API (UMAPI) as MCP tools for listing users, managing product profiles, and assigning or removing Acrobat/PDF licenses in Enterprise organizations.

Enables users to scan MCP servers for security threats, check installed servers, and analyze config files for risks, all from AI assistants like Claude, Cursor, or Windsurf.

Verifies C2PA Content Credentials for local files or URLs and returns an LLM-ready verdict on trust, AI generation, and provenance.

Blocks AI coding assistants from installing non-existent packages and accessing non-existent files.

Enables LLMs to analyze network packet captures (PCAP files) from local or remote sources through a modular architecture. Supports DNS traffic analysis with structured JSON responses for network security and troubleshooting tasks.

A Model Context Protocol server for the EuroDNS User API — domains, DNS zones, contacts, subscriptions, SSL, invoices and orders.

A modular MCP server for analyzing PCAP files using protocol-specific analysis tools, enabling LLMs to read and analyze network packet captures from local paths or remote URLs.

The MCP ecosystem is growing fast. Not every server on npm is safe. mcp-shield lets Claude audit any MCP server — local or from npm — before you trust it with your files, keys, and context.

Enables security analysis of URLs, files, IPs, and domains using the VirusTotal API, with automatic fetching of relationship data to provide comprehensive reports.

MCP server for creating and managing SOPS-encrypted secret files using age encryption, enabling AI agents to generate and manage secrets without ever seeing plaintext values.

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 read-only auditing of repositories by scanning actual files, flagging risky code, secrets, and untrusted platform configs, and generating Chinese-language reports for human decision-making.

MCP server that wraps the Proxyline proxy provider API, exposing all methods as MCP tools for AI assistants. Enables managing proxies, orders, countries, IPs, balance, and tags through natural language.

A containerized MCP server for parsing OT/ICS packet captures, specifically supporting Modbus and BACnet protocols via tshark. It provides structured JSON output from PCAP files to enable LLMs to analyze industrial network traffic and derive device inventories.