Discover our curated collection of MCP servers for security & testing. Browse 1771servers and find the perfect MCPs for your needs.
Manages and monitors server processes for AI agents, enforcing strict security through executable allowlists and resource controls.
Provides a simple echo service, returning messages it receives for diagnostic and testing purposes within the MCP framework.
Creates a transparent, inspectable decision layer using McCulloch-Pitts neurons to bridge the 'black box' problem of neural networks for safety-critical and regulated AI.
Automates web browser interactions, enabling session-based control over multiple instances for a wide range of tasks.
Analyzes unit test setups, checks coverage, and generates comprehensive test reports for JavaScript/TypeScript projects.
Provides a secure Model Context Protocol service for SQL Server, enabling safe query execution, schema discovery, and routine management.
Enables AI assistants like Claude Desktop to directly interact with source code files and project directories for enhanced development workflows.
Facilitates integration with the Qase test management platform via the Model Context Protocol (MCP).
Extends the Sliver C2 framework with a Python-based command and control server for advanced operations.
Securely share encrypted secrets that automatically self-destruct after viewing or a set time.
Assists AI coding assistants in analyzing and migrating Java applications from Java EE 8 to Jakarta EE 9+.
Integrate AI assistants with TestRail to manage projects, test cases, test runs, and results.
Enables AI agents to perform precise, secure, and quality-controlled file modifications using a block-based patching format.
Generates secure, shareable URLs for AI-created visual content with preserved interactivity and embedded risk sanitization.
Empowers AI agents to run industry-standard auditing tools directly on your local machine for proactive code security and compliance.
Provides a suite of Git repository browsing and analysis tools accessible via the Model Context Protocol (MCP).
Enables MCP-compatible IDEs and agents to provision, manage, and poll ProjectDiscovery Interactsh sessions for out-of-band interaction detection.
Provides session-aware Model Context Protocol (MCP) server integration for Ktor applications.
Provides a catalog of AI agent attack vectors and proof-of-concept exploits.
Automatically validates, secures, and estimates cloud costs for Terraform configurations.
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