Security & Testing MCP Servers

Discover our curated collection of MCP servers for security & testing. Browse 1135servers and find the perfect MCPs for your needs.

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Anava

Connects AI assistants with Anava-enabled Axis security cameras for real-time image analysis and event monitoring.

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AI Vision

Provides AI-powered visual analysis capabilities for web applications using the Gemini Vision API.

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Xray

Integrates the powerful xray vulnerability scanner into ModelScope's Model Context Protocol for comprehensive security assessments.

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Vault

Provides a hobbyist-level MCP server for Vault using Python.

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MCP

Ensures consistent data standardization across project variables, database structures, and file organizations to prevent naming conflicts.

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Descope

Enables interaction with Descope's Management APIs to search and retrieve project information.

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Custom Login

Establishes automated login functionality for local web applications using predefined credentials via the Model Context Protocol.

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Math

Provides a secure Model Context Protocol server for evaluating mathematical expressions with robust grammar validation and comprehensive safety features.

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Any-API Server

Adapt any HTTP API into a Model Context Protocol (MCP) toolset for AI agent interaction.

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SecOps

Provides a standardized Model Context Protocol (MCP) server for unified access to over a dozen security and penetration testing tools, designed for seamless integration with automation platforms like n8n.

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Test Repo 1

Validates GitLab MCP server installations.

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Amap Navigation

Enables interactive map navigation with real-time route planning and WebSocket communication for Amap (Gaode Maps) via a FastAPI and fastmcp-based interface.

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OpenAccess

Provides secure, policy-driven access to remote systems for SSH, SFTP, rsync, tunneling, VPNs, and RDP operations.

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CommitCard Core

Powers a living, data-driven resume for developers by handling orchestration, API exposure, authentication, and agent integration.

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Akab

Provides a production-grade A/B testing framework with three levels of scientific rigor for comparing large language model (LLM) outputs.

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OnSecurity

Enables Claude to query rounds, findings, prerequisites, and notifications from the OnSecurity API.

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Filesystem

Provides secure, relative filesystem access for AI agents.

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Learn

Provides a hands-on sandbox for learning and testing the Model Context Protocol (MCP).

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Web Proxy

Monitors and analyzes HTTP/HTTPS traffic with automated browser setup, leveraging Model Context Protocol for enhanced control.

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Service Health

Enables AI assistants to monitor web services, APIs, and HTTP endpoints with enterprise-level security.

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