Model Context Protocol (MCP) has been making major waves in the world of tech. MCP is an important step towards making AI truly agentic and autonomous. It also creates an invaluable link between AI-driven tools like LLMs and your organization’s resources, like codebases or internal documents.
With MCP becoming so popular, it’s imperative that MCP servers are as secure as possible. With that in mind, here are ten tools for securing MCP servers to help ensure your AI ecosystems are safe, secure, and efficient.
Top 10 Tools for Securing MCP Servers: A Quick Rundown Tool Key Features Advantages Drawbacks Best Use Case Salt Security MCP Server AI-driven context-aware analysis, threat detection, API/tool inventory Enterprise-grade protection, tracks every tool invocation, highly adaptive Commercial tool, may require enterprise budget and integration complexity Large organizations needing full-spectrum AI-native MCP security MCPSafetyScanner Role-based testing, audit logging, emulates attacker behavior Open-source, emulates multiple roles for deep security testing Requires technical setup and interpretation of results Security teams wanting to simulate MCP attacks and audit endpoints CyberMCP 14+ security tools, 10+ security checks, IDE integrations Natural language querying, integrates with dev tools like Claude and Cursor Might require familiarity with specific IDEs, less enterprise-focused Developers using Claude/Cursor wanting a natural language MCP security tool Invariant Labs MCP-Scan Detects tool poisoning, context manipulation, prompt injection Specialized for MCP-specific threats, actively updated Steeper learning curve, better for experienced users Security teams hardening LLM pipelines against advanced MCP threats Kong AI Gateway Natural language API queries, behavior profiling, rate limiting Seamlessly adds MCP to existing Kong setups, combines traditional and AI-based security Requires Kong ecosystem knowledge Users already using Kong who want to secure MCP APIs MasterMCP Python toolkit, simulates JSON injection, prompt attacks Scriptable, emulates common attacks, open-source Requires Python scripting skills Integrating MCP threat emulation into CI/CD or manual testing workflows MCP Security Scan Lightweight scanner, open-source Easy to set up, fast initial scans Limited depth of analysis Beginners or devs exploring lightweight MCP server scanning MCP for Security Suite of tools turned into MCP-compatible functions Bridges cybersecurity tools with AI workflows, modular and extensible Requires familiarity with existing cybersecurity tooling Experienced cybersecurity professionals adapting tools to MCP environments Docker MCP Toolkit Docker-native integration, OAuth support, container-based Plug-and-play with Docker systems, secure by container standards Not ideal for environments with strict container restrictions DevOps teams using Docker seeking to MCP-secure via containerized workflows Slowmist MCP Security Checklist Risk checklist based on real audits Visual clarity, excellent for assessments and education Checklist format may not provide active defenses or automation Organizations conducting MCP security reviews or assessments Salt Security MCP ServerSalt Security has a long reputation for providing API security. They’ve expanded their scope to embrace MCP, allowing your security system to analyze every API call, microtask, and data transaction to make sure it’s safe. To achieve this goal, the Salt Security MCP Server uses many of the same techniques that the Salt Security API server employs. It uses AI to provide detailed context-aware traffic analysis and advanced threat detection. It also creates a detailed API inventory and tool visibility, as MCP tools are only invoked when they’re called. Even better, the Salt Security MCP server keeps a record of every tool, allowing you to track patterns and identify risks, as well as flag unauthorized tools.
MCPSafetyScannerMCPSafetyScanner is an open-source MCP server that allows users to query an MCP server using different roles. This allows you to emulate the behavior of hackers as well as cybersecurity professionals, testing your MCP server for each test case. You can even assign the role of Auditor, which allows MCPSafetyScanner to analyze and keep a record of every element of your API ecosystem for potential security risks, including MCP servers.
CyberMCPCyberMCP is another open-source MCP tool that allows users to make sure their MCP servers are secure. It offers 14 specialized tools for security as well as ten additional resources that identify potential security risks like authentication bypass or injection attacks. It even integrates with numerous IDEs, like Claude Desktop or Cursor. Combined, CyberMCP allows users to query cybersecurity tools using natural language.
Invariant Labs MCP-ScanInvariant Labs MCP-Scan is a tool designed specifically to detect and correct threats common to MCP. These include risks like tool poisoning, where innocuous tools smuggle in malicious code like a trojan horse, and context manipulation. This makes MCP-Scan ideal for cybersecurity teams looking to harden their MCP servers against threats. The main drawback is that it requires some experience with MCP to use effectively. Users with less technical expertise might want to look for a different tool for securing MCP servers.
Kong AI GatewayKong AI Gateway is another API security tool that has transitioned to providing cybersecurity tools for MCP. This allows users to query your API catalog using natural language with natural language. It also creates advanced behavior profiles and risk profiles, as well as common security features like rate limiting, authentication, and traffic monitoring. This makes Kong AI Gateway an excellent choice for anyone looking to add MCP security to an API security ecosystem or anyone already familiar with Kong.
MasterMCPSlowmist MasterMCP is a toolkit designed specifically for common MCP security threats. Like Invariant Labs MCP-Server, MasterMCP allows you to emulate common attacks like data poisoning or JSON injection. These tools are available as Python scripts. This makes Slowmist MasterMCP a good pick for users looking to integrate MCP security into your security testing system.
Also read: 25+ JSON Parsing and Validation Tools MCP Security ScanSxhxliang MCP-Security-Scan is a tool for analyzing MCP servers for security risks. It’s lightweight and completely open-source, making it a good pick for users looking to experiment with MCP security. Those looking for a more comprehensive security solution might do better to look elsewhere, though.
MCP for SecurityCyproxio MCP for Security is not just an MCP security tool. It’s a suite of MCP security tools, creating MCP servers out of an impressive range of security tools. This allows users to integrate security testing and penetration into AI workflows. This makes MCP for Security a good choice for users already familiar with existing cybersecurity tools. If you need a more thorough security solution, you might look for a different MCP security tool.
Docker MCP ToolkitDocker MCP Toolkit allows users to seamlessly integrate MCP servers into existing systems. This allows MCP servers to use built-in OAuth support, secure authentication, and any third-party tool that can interact with Docker. Organizations with restrictions on how they use containers should look elsewhere for MCP security, though.
Slowmist MCP Security ChecklistSlowmist MCP Security Checklist provides a comprehensive checklist for the most common MCP security risks. Slowmist uses actual cybersecurity risks they encountered during security audits, which are then used to analyze your MCP system. The MCP Security Checklist assesses your MCP tools for any particular risks as well as areas of potential improvement. If you’re looking for a tool to make visualizing your MCP security crystal clear and easy to understand, try the Slowmist MCP Security Checklist.
Final Thoughts on Tools for MCP SecurityAs AI continues to evolve, MCP will likely become more important for establishing connectivity. This makes MCP security a high priority if you want to make sure your AI and MCP ecosystem remains secure.
To review, here are some top tools based on your needs:
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