"New York Times" matching MCP servers:

MCP server for AI security scanning. Detects prompt injections, jailbreaks, data exfiltration, and social engineering attacks in real-time using 42 regex patterns via the ClawGuard Shield API. Sub-10ms response times.

Enables AI agents to perform passive security scans on domains, checking email spoofing (DMARC/SPF/DKIM), TLS weaknesses, security headers, exposed files, and subdomain-takeover risk without needing an API key.

Enables AI assistants to query Cork's cyber-insurance API for MSPs, including client warranty status, cyber scores, risk/compliance events, software vulnerabilities, integrations, invoices, and installer metadata via MCP tools.

Enables interaction with SpiderFoot OSINT reconnaissance tools through MCP, allowing users to manage scans, retrieve modules and event types, access scan data, and export results. Supports both starting new scans and analyzing existing reconnaissance data through natural language.

Enables AI agents to perform security audits on pull request diffs by detecting secrets, dangerous code patterns, and new dependencies, outputting structured JSON for generating PR review comments.

The Auth0 MCP Server integrates with LLMs and AI agents, allowing you to perform various Auth0 management operations using natural language. For instance, you could simply ask Claude to "Create a new Auth0 app and get the domain and client ID"

Enables deposit-only credential entry into Vaultwarden, allowing agents and scripts to save new passwords via an encrypted inbox without granting vault read access.

Enables MCP-compatible agents to route HTTP requests through the Tor network, providing anonymity and access to .onion services. Includes tools for fetching URLs, checking exit IP, and forcing new Tor circuits.

Audits your package-lock.json for supply-chain attacks before install. Cross-checks every resolved entry against the live npm registry to detect integrity mismatches, new install scripts, and other malicious signals.

Adaptive security for AI agents: assess inputs for prompt injection, scan outputs for credential/PII leaks, teach new attack patterns to semantic memory, harden prompts, and monitor metrics. Runs locally via MCP stdio.

Enables MCP clients to manage Tines cases via the Cases v2 API, supporting create, read, update, close, and comment operations. Runs in a container via podman/docker and defaults to read-only for safety.

Unverified AI agents are a growing security risk. Kynver's MCP server brings agent trust directly into your IDE — resolve agents by DID, check verification status and trust scores, register new agents, and complete ownership challenges or KYC without switching context.

Exposes LLM output validation (schema compliance and prompt-injection detection) as an MCP tool, enabling any MCP-compatible agent to apply real-time guardrails without importing the codebase.

Australian and New Zealand PII detection and sanitisation for AI agents, using Microsoft Presidio with custom recognizers for TFN, Medicare, ABN, and more.

Enables offline, deterministic verification of credential retirement settlements from explicit receipts, proving that rotations activated new credentials, rejected old ones, and closed without exposing secrets.

The new Bright MCP Server enables AI assistants to directly interact with Bright and manage security scans end-to-end. Using natural language prompts, AI can now analyze existing coverage, identify missing or hidden entrypoints, add them to the project, select the most relevant security tests based on the application’s technology, and start scans automatically.

Enables interaction with the Tines security automation platform, allowing management of stories, actions, credentials, and more via natural language.

Remote MCP/API trust gate for AI agents to inspect readiness before performing Korean business workflow operations like vendor onboarding and payment release.

A local memory layer for AI coding tools that stores user preferences, lessons, and project context as local files, exposed via MCP so different AI tools can share the same understanding of you.

Enables agentic coding clients to enforce portable policy guardrails by evaluating proposed shell, file write, git, and network actions and returning allow, deny, or ask decisions.