"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 interaction with Xray Cloud and Data Center for test management, including authentication, GraphQL queries, test execution/plan management, and result import via MCP.

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

Scaffolds new MCP servers for the OpenSIN-Code ecosystem with templates for Python, Node, Go; provides tools to add tools, test, validate, register, publish, and audit servers.

Processes test scenarios from user prompts to generate complete WDIO test suites with intelligent file management that analyzes existing files to determine whether to update them or create new ones.

A test server that exercises all MCP protocol features including prompts, tools, resources, and sampling, intended for MCP client builders.

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.

Detects and breaks repetitive fix loops in AI coding assistants by tracking attempts and providing escalating intervention strategies. It utilizes error fingerprinting and similarity analysis to redirect the AI toward new approaches when it gets stuck on the same error.

Autonomously analyzes projects, generates Playwright tests via OpenAI, runs them, classifies failures, and recommends fixes, iterating up to 3 times.

An MCP server for static Big-O time complexity analysis using tree-sitter AST parsing. Supports JavaScript, TypeScript, Python, Java, Kotlin, and Dart.

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.

Audits any site's UX the way a design-literate reviewer would — contrast, tap targets, type scale, colour discipline, scan patterns, copy — and returns the rule, the source line and the exact fix.

MCP server for TestNeo quality workflows, enabling test generation, execution, and analysis through MCP-compatible IDE clients.