发现我们为 security & testing 精心策划的 MCP 服务器集合。浏览 1705 个服务器,找到满足您需求的完美 MCP。
Empowers AI assistants to query Microsoft Entra ID data using natural language by interacting with the Microsoft Graph API.
Orchestrates enterprise-grade security tools with built-in safety, resilience, and comprehensive observability.
Provides a secure server for remote SSH command execution, strictly enforcing read-only operations.
Performs basic security scans for DNS and email configurations.
Facilitates educational penetration testing by enabling AI assistants to interact securely with authentic Kali Linux tools via a Model Context Protocol server.
Provides secure, auditable remote access to a system shell for executing commands and streaming output.
Provides a production-ready, OAuth-protected server template for AI clients like Claude.
Generates Model Context Protocol (MCP) servers from OpenAPI or GraphQL specifications, simplifying integration with AI systems.
Establishes secure SSH connections and facilitates file transfers to remote hosts, exposing these capabilities as tools for AI-driven workflows.
Assists in debugging, coding, and resolving code-related errors.
Provides IDA Pro documentation access via an MCP (Machine Code Processor) server to assist with plugin and script development.
Verifies client connectivity for MCP integrations, offering pre-defined tools, resources, and prompts.
Streams asynchronous responses per client session via Server-Sent Events from a lightweight FastAPI-based server.
Facilitates vacation rental bookings and provides protection services specifically for AI agents.
Parses and analyzes HTTP Archive (HAR) files to extract comprehensive insights from network traffic captures.
Provides cognitive security for AI-assisted development by preventing dangerous commands and large AI code rewrites when a user is fatigued.
Facilitates seamless interaction with the Modulus Testnet blockchain as a production-ready Model Context Protocol (MCP) server.
Provides AI-powered tools to streamline software development workflows and enhance code quality.
Manages authentication through secure credential management and multi-protocol support.
Enables secure local filesystem and terminal operations for AI assistants via the Model Context Protocol.
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