"Resources for security testing, penetration testing, and bug bounty programs" matching MCP servers:

MCP server that enables AI agents to programmatically run tests, query results, and receive intelligent recommendations about test execution strategy.

MCP server for testing GitHub Actions workflows locally using nektos/act.

Enables automated testing and coverage reporting for MCP services with test execution, file generation, and mock service creation. Provides comprehensive testing infrastructure including Jest integration, coverage reports, and health checks for the MCP ecosystem.

A lightweight, local-first MCP server for executing HTTP requests and managing API collections and environments without cloud dependencies. It enables testing APIs, handling authentication, and importing OpenAPI specifications directly within MCP-compatible workflows.

A multi-language testing automation server that enables AI assistants to discover, plan, and execute tests across six major programming languages. It provides comprehensive tools for repository scanning, automated test execution, and detailed coverage reporting.

A Model Context Protocol (MCP) server that provides testing and debugging tools for Stripe integrations, including test clock management, customer and product management, and subscription testing.

A standardized MCP server designed for testing integration with the Des MCP Server Testing API. It allows AI agents to interact with testing endpoints using tools implemented via the Model Context Protocol.

Enables AI agents to find and query real-time GitHub coding bounties with built-in scam filtering, supporting listing, matching, and detailed bounty retrieval.

Enables AI-driven mobile test automation through planning, generation, and self-healing agents for Android and iOS, exposed as callable MCP tools.

Automates Java Maven testing workflows with decision table-based test generation, security vulnerability scanning, JaCoCo coverage analysis, and Git automation.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

An MCP server that gives AI coding assistants QA superpowers, enabling users to report bugs by pointing, clicking, or typing while automatically capturing diagnostic data for AI-driven test-feedback-fix loops.

Provides MCP tools to search and retrieve open-source bounties, jobs, and challenges from a live feed.

A simple server implementing the Model Context Protocol (MCP) that echoes messages back, designed for testing MCP clients.

Enables developers and AI agents to discover, rank, watch, and draft submissions for Gibwork coding bounties through MCP tools, with optional wallet-authenticated SDK support.

A working MCP server implementation in TypeScript/JavaScript that supports all major bounty operations (list/claim/submit/status). Includes example Claude conversations showing usage.

A shared, concurrency-safe ledger for LLM code audits. It enables multiple agents to collaboratively report, verify, and resolve bugs with deduplication and hallucination resistance.

A comprehensive testing suite demonstrating all Model Context Protocol (MCP) Apps features through interactive Weather Dashboard and 3D Globe viewer applications.

A specialized MCP server for QA engineering. It provides tools for user story analysis, test strategy, BDD/Gherkin scenarios, contract testing, integration tests, performance plans, security checklists, and CI/CD pipeline generation, accessible from any MCP-compatible IDE or client.