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Over the last few years, MCP – Model Context Protocol – servers have become increasingly critical for businesses that rely on AI-driven applications and real-time agent interactions.
Whether they’re deploying AI agents to handle customer service or perhaps managing complex analytics for data processing, these servers act as the backbone that allows agents to share context and communicate seamlessly.
But they must be protected. Because they’re designed to handle sensitive information and coordinate automated decision-making, MCP servers have become a prime target for cyberattacks, including automated bot traffic and data theft.
With this in mind, it’s become crucial for businesses to safeguard them effectively. But before we get into how to protect MCP servers, it’s first important to consider what MCP security actually is.
What is MCP Security?
MCP security is a specialised form of cybersecurity designed to protect MCP servers – the infrastructure that allows AI agents to communicate, share context, and operate together in real time.
At its core, it works by monitoring and controlling the flow of information between these AI agents, whether that’s by analysing income requests, tracking how the agents interact with the system, providing authentication, or automatically blocking any suspicious activity. In short, it serves as a protective layer for AI infrastructure, ensuring data remains secure and systems remain resilient.
Why is it Crucial for MCP Servers?
This kind of solution is needed to protect MCP servers from threats such as data poisoning, misconfigurations, and, as mentioned above, automated bot traffic and data theft.
These types of MCP risks have become increasingly common over the last few years. As businesses connect AI models to external systems and sensitive data, they’re effectively increasing both the attack surface and the potential impact of a security breach, making MCP security crucial for safeguarding these operations and ensuring sensitive information remains protected from malicious actors.
5 Best MCP Providers
So what kind of security is out there? Due to the nature of the problem and the risks that numerous businesses now face, a fair few MCP providers have popped up in recent years. It’s important, however, to discern which are the most reliable and have the most effective security tools for dealing with such a complex environment.
1. Datadome
One of the best solutions for companies using such servers is Datadome MCP protection, which provides comprehensive security by monitoring and analysing real-time agent-based AI traffic and blocking malicious activity before it reaches the servers.
One of its key features is its use of advanced machine learning algorithms to detect threats autonomously, enabling it to respond to evolving attacks without human intervention. Additionally, Datadome integrates seamlessly with existing MCP infrastructures, supporting technologies like Node.js and AWS CloudFront’s Lambda@Edge.
Why is this important? Because it allows businesses to strengthen security without disrupting existing operations or requiring major infrastructure changes. This means AI agents can continue to communicate and operate smoothly, and companies can continue their operations without needing to intervene in the security process.
2. Prompt Security
Prompt Security is an AI security company that helps companies manage all the most critical GenAI risks. This is perhaps the most pressing challenge for enterprises adopting AI, as generative AI now powers a wide range of applications, from content generation to customer support.
Unlike some other MCP providers, Prompt Security also offers AI Red Teaming, which proactively tests AI systems for vulnerabilities by simulating potential attack scenarios, injecting malicious or unexpected inputs, and observing how the AI responds. This approach then allows companies to identify weaknesses in their models or integrations and implement fixes that strengthen security before attackers can exploit them.
3. Cyber MCP
Another top solution for MCP servers is Cyber MCP, which monitors server traffic and utilises behavioural analytics to learn the normal patterns of AI agent activity. By doing this, the security tool can quickly identify unusual or potentially malicious behaviour, flagging anomalies such as unauthorised access attempts, abnormal data requests, or suspicious automated actions.
Let’s give an example. Imagine a company using AI agents to manage customer support requests across multiple platforms. Normally, each agent accesses the server a predictable number of times and retrieves certain types of data, but all of a sudden, the system has detected a spike in requests from a single agent.
Cyber MCP’s security tool would immediately flag this as suspicious, blocking the activity and alerting the security team. The result is a far more secure and resilient MCP environment, where potential threats are neutralised before they cause any damage.
4. Teleport
Teleport’s infrastructure identity platform has introduced its zero-trust architecture to MCP, working to ensure that every interaction between AI agents and MCP servers is authenticated and continuously verified.
It does this by implementing strict access control, along with comprehensive audit trails that record every action taken by AI agents and users, providing full visibility. In terms of who it’s ideal for, DevOps, AppSec, and Security teams embedding LLMs into production systems are the primary beneficiaries, especially considering the zero-trust assurance, which enables enterprise-grade identity-based access control.
5. Akto
The last MCP security provider we want to mention is Akto, which introduced an industry-first MCP security platform to perform automatic discovery, testing, and monitoring of AI orchestration layers.
Via 50+ connectors, it streamlines MCP server and API discovery across cloud, hybrid, or on-premise environments, with continuous monitoring of patterns, response structures, tool usage, and execution context. This then allows organisations to identify vulnerabilities and ensure the integrity of AI-driven workflows remains intact.
Along with the other options on this list, this makes it one of the best MCP security providers out there, but it has to be said, each provider mentioned has its own strengths and qualities that make them strong choices in 2025.
Photo by FlyD; Unsplash
Rashan is a seasoned technology journalist and visionary leader serving as the Editor-in-Chief of DevX.com, a leading online publication focused on software development, programming languages, and emerging technologies. With his deep expertise in the tech industry and her passion for empowering developers, Rashan has transformed DevX.com into a vibrant hub of knowledge and innovation. Reach out to Rashan at [email protected]
