"Analyzing Large Amounts of Text" matching MCP servers:

Enables secure text authoring and privacy-focused document processing through MCP. Provides tools for style analysis, conservative text revision, comparison with author samples, and removal of metadata from DOCX/PDF files.

Enables querying and analyzing Tenable Vulnerability Management audit logs, including activity summaries, API key usage, and anomaly detection through MCP tools.

Scans suspicious messages, URLs, and text for scams inside any MCP-compatible AI assistant. No signup or API key needed for anonymous use.

Enables AI assistants to interact with security data pipelines and map data to the Open Cybersecurity Schema Framework (OCSF) through Tenzir. Provides seamless integration for processing and analyzing cybersecurity data using natural language.

Privacy layer for healthcare AI agents. Pseudonymises patient identifiers (NHS numbers, names, dates of birth, addresses; UK and US) into labelled tokens locally before text reaches an agent, then restores the originals afterwards, keeping the token map out of agent context.

Enables AI assistants to monitor GitHub repository health by calculating health scores, fetching repository metadata, analyzing Dependabot alerts, checking CI/CD status, and retrieving code scanning alerts.

Enables LLM agents to fetch web pages safely, blocking SSRF, downloads, hidden text, and prompt-injection attacks before returning cleaned content.

Enables cloud-based MCP clients to delegate privacy-sensitive or large-output tasks to a local LLM, returning sanitized placeholders or digested summaries so private data never leaves the user's network.

Cognitive security for AI-assisted development, preventing dangerous commands and large AI code rewrites when fatigued.

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.

Enables an AI assistant to redact text and, more importantly, files without reading them, since file redaction and restoration happen locally and only counts are reported, keeping personal data out of the conversation. It exposes tools for redacting text, writing a redacted copy of a UTF-8 file with an owner-only restore mapping, and putting original values back offline.

Enables querying and analyzing a legacy, file-based vulnerability registry via MCP tools for CVE lookup, search, vendor navigation, and aggregate statistics.

Provides real-time security risk assessment for AI coding prompts, analyzing potential dangers, blast radius, and complexity before code execution in Cursor.

A MCP server for querying the VirusTotal API. This server provides tools for scanning URLs, analyzing file hashes, and retrieving IP address reports.

Enables searching and analyzing CVEs and vulnerabilities from multiple sources, optimized for PR review scenarios to help developers identify the latest security issues.

Supply chain risk scoring for npm, PyPI, and GitHub repos

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.

An MCP server that enables LLMs to detect and anonymize over 25 types of Personally Identifiable Information (PII) using Microsoft Presidio. It supports various redaction strategies and can process both plain text and structured data to help ensure data privacy.

MCP server for 1C:БИТ with a knowledge base of user instructions (full-text search) and RBAC access profiles (keyword-based profile suggestion, roles matrix, validation, approval levels).

An MCP server that extracts Indicators of Compromise (IoCs) from unstructured text and checks their reputation across multiple threat intelligence services. It enables real-time analysis of IPs, domains, hashes, and URLs, providing enriched context for security workflows within LLMs.