发现我们为 security & testing 精心策划的 MCP 服务器集合。浏览 2068 个服务器,找到满足您需求的完美 MCP。
Generates mock data for various application development and testing scenarios.
Bridges Large Language Models with penetration testing tools via the Model Context Protocol (MCP).
Generates Model Context Protocol (MCP) servers from OpenAPI or GraphQL specifications, simplifying integration with AI systems.
Performs real-time security scans on codebases for AI agents and LLM-powered IDEs.
Facilitates interaction with the AWS Security Hub API using a Multi-Agent Conversation Protocol (MCP) server.
Empowers AI assistants with a comprehensive suite of tools for interacting with the Osmosis blockchain, including direct transaction execution.
Provides a Multi-Agent Conversation Protocol server for the HubAPI authentication API.
Enables interactive map navigation with real-time route planning and WebSocket communication for Amap (Gaode Maps) via a FastAPI and fastmcp-based interface.
Provides seamless access to the GTFOBins database directly within Claude Desktop for querying exploitation techniques and privilege escalation methods.
Provides comprehensive tools for integrating with the BugBug test automation platform via a Model Context Protocol (MCP) server.
Provides a robust security audit and compliance server for the Model Context Protocol, integrating multiple scanners and frameworks with strict project boundary enforcement.
Provides reversible anonymization and deanonymization of sensitive information within text messages.
Conduct efficient security audits for npm dependencies, providing key insights in standardized formats for local and remote projects.
Enforces organizational policies on AI coding agents by validating their commands, file operations, and code changes in real-time.
Provides a comprehensive Model Context Protocol (MCP) server for deep integration with TestRail's test management capabilities.
Empowers AI assistants with deep code analysis capabilities, including AST-based test generation, OWASP-style security audits, and intelligent refactoring suggestions.
Manages AdGuard Home filtering and settings via the Model Context Protocol.
Ensures AI agents obtain explicit, verified consent before initiating contact with humans, acting as an ethical gateway for proactive interactions.
Enables AI assistants to securely and efficiently interact with remote file systems via FTP, SFTP, and FTPS protocols.
Empower developers with an in-editor assistant to instantly generate SBOMs, scan for vulnerabilities, verify license compliance, and receive actionable remediation guidance.
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