Top 9 MCP Security Platforms and Gateways in 2026

Key Takeaways

• MCP security covers several related functions, including identity and access control, gateway and routing functions, runtime threat detection, tool-level authorization, and discovery of MCP servers and clients.
• MCP gateways give organizations a central point for mediating traffic between MCP clients and servers, although the controls applied there vary considerably by product.
• Aembit provides an identity control plane for AI agents. Its MCP Identity Gateway is one enforcement point within the broader platform, applying runtime access policy, brokering downstream credentials, and preserving agent and user context for MCP access.
• Products in this market should be evaluated according to the problem they solve: identity and authorization, traffic mediation, runtime inspection, tool controls, or discovery and inventory.

Every AI agent that calls a tool, queries a database, or reaches an internal system through the Model Context Protocol depends on an MCP server somewhere along the path. As MCP adoption has spread through enterprise environments, security teams have had to decide where controls should sit between agents and the resources they can reach.

In 2025, Invariant Labs documented an attack involving the official GitHub MCP server in which malicious content in a public GitHub issue induced a connected agent to expose information from a private repository. The incident illustrated one class of MCP risk, while also showing why “MCP security” has become such a broad term. Preventing an unauthorized agent from reaching a server, restricting access to a particular tool, detecting poisoned content, and discovering an unmanaged server are separate security problems.

MCP gateways have emerged as one part of the answer. They provide a managed point between clients and servers where organizations can apply controls such as authentication, authorization, routing, credential handling, logging, tool restrictions, and traffic inspection. The precise combination differs by product.

Other platforms approach MCP from adjacent disciplines, including application security, cloud security, AI runtime security, and identity and access management.

Aembit approaches MCP through identity and access control. Its MCP Identity Gateway is part of the broader Aembit platform rather than a standalone gateway product.

The Main Jobs Inside MCP Security

The products in this market tend to concentrate on several related functions. Understanding which problem needs to be solved makes the comparison considerably more useful.

• Identity and access control. Organizations need to establish which agent, workload, or user is requesting access and determine which servers, resources, or tools that identity may reach. Credential brokering can also keep downstream credentials outside the agent runtime.
• Gateway and routing. A gateway can provide clients with a common path to one or more MCP servers, creating a central point for routing, policy enforcement, logging, and credential handling.
• Runtime threat detection. Products in this category inspect MCP traffic, tool descriptions, inputs, and outputs for prompt injection, tool poisoning, sensitive data exposure, malicious instructions, and related threats.
• Tool-level authorization. Server access alone may be too broad. Some products allow security teams to permit or deny individual MCP tools, giving organizations a narrower level of control over what an authorized agent may do.
• Discovery and inventory. Security platforms can locate MCP servers, clients, tools, and other AI components already present in an environment, including deployments introduced outside a formal security process.

These functions overlap, although they are not interchangeable. A product that identifies malicious content addresses a different risk from one that determines whether an agent should be permitted to invoke a tool in the first place.

Certification status, deployment options, integrations, and audit capabilities change frequently. Organizations should verify current vendor documentation during an evaluation.

Ranking the Top 9 MCP Security Platforms and Gateways

1) Aembit

Aembit provides an identity control plane for AI agents, built on the same production identity and access foundation used for workloads. Its platform establishes the identity of the agent or workload making a request, evaluates access policy at runtime, brokers the appropriate downstream credential, enforces the decision, and records the resulting activity.

For agents acting on behalf of employees, Aembit’s blended identity model preserves the identities of both the agent and the represented user. That context can inform the access decision and remain attached to the resulting audit record.

MCP is one of several enforcement points within that architecture. Aembit’s MCP Identity Gateway applies access controls when agents connect to MCP servers and tools. The gateway can exchange the credential presented by the agent for the destination credential needed by the downstream server, allowing the agent to operate without receiving reusable server credentials.

This separation is important. The gateway receives the least-privilege access needed for the approved request, while downstream credentials remain outside the agent itself. Access can be evaluated using agent identity, user context, the target resource, and other conditions.

Aembit also supports OAuth authorization for MCP clients and tool filtering so policies can govern individual tools rather than granting unrestricted access to every capability exposed by an MCP server.

Content inspection can be incorporated through integrations with model-security products. This allows organizations to combine Aembit’s identity and access controls with specialized analysis of prompts or other content moving through the interaction.

A $300 billion investment firm used Aembit to establish centralized runtime policy for Claude access, preserve user and agent identity, isolate downstream credentials, and apply fine-grained controls to MCP tools.

MCP remains one access path within the wider platform. The same identity, policy, credential, revocation, enforcement, and audit model can apply across agents reaching SaaS applications, APIs, cloud services, private resources, and other enterprise systems.

2) Runlayer

Runlayer provides an MCP gateway with identity-aware policy, OAuth controls, runtime security checks, approvals, analytics, and audit logging.

The platform gives organizations a central place to publish approved MCP capabilities and determine which users, groups, agents, clients, connectors, tools, and resources may be used. Policies can also incorporate runtime conditions before a tool call is permitted.

Runlayer combines traffic mediation with access policy and security inspection, which can appeal to organizations seeking several MCP control functions within one product.

Its gateway-centered architecture is especially relevant for teams that want routing, access decisions, monitoring, and runtime security applied through a common control point.

3) Lasso Security

Lasso Security provides MCP security capabilities within a broader AI security platform.

Its products emphasize runtime protection, including prompt-injection defenses, data controls, and inspection of AI interactions. MCP gateway capabilities extend those controls to traffic between agents and MCP servers.

Lasso’s wider remit may suit organizations that want common security controls across MCP, generative AI applications, and other agentic systems rather than a product devoted exclusively to MCP infrastructure.

Its principal strength lies in runtime and content security.

4) Invariant Labs / Snyk

Invariant Labs developed MCP-Scan, an open-source tool for examining MCP configurations, tool descriptions, and runtime behavior.

The company’s research helped establish several early MCP security concepts, including tool poisoning and cross-server attacks. Its researchers also documented the GitHub MCP incident described earlier.

Snyk acquired Invariant Labs, bringing its MCP research and technology into a larger application-security portfolio.

Organizations considering this approach should distinguish the open-source Invariant tooling from capabilities now delivered through Snyk’s commercial products.

5) Pillar Security

Pillar Security focuses on the security of AI applications and agents across development and runtime environments.

Its researchers have examined MCP supply-chain attacks, tool poisoning, authentication weaknesses, and other attack techniques relevant to agent-connected systems.

The platform combines discovery, security testing, and runtime protection. That makes Pillar more closely aligned with AI application security than with the conventional notion of an MCP gateway.

Its research orientation may be particularly useful for organizations concerned about malicious servers, unsafe tools, and weaknesses in the software surrounding MCP deployments.

6) Wiz

Wiz approaches MCP through its broader cloud and AI security platform.

Wiz Research has documented the prevalence and risks of exposed MCP servers in cloud environments, including systems that disclose sensitive information or provide access to consequential tools without adequate authentication.

The company also offers Wiz MCP, which allows agents and AI applications to query security context from the Wiz Security Graph.

For existing Wiz customers, the principal advantage is that MCP assets and risks can be examined alongside cloud resources, identities, vulnerabilities, data, and other infrastructure already represented in the platform.

Organizations looking primarily for an MCP gateway, however, will encounter a substantially broader cloud-security product.

7) TrueFoundry

TrueFoundry provides an MCP gateway as part of a wider AI infrastructure platform.

The gateway centralizes access to MCP servers, manages authentication and OAuth flows, handles credentials, applies access policy, and routes requests to registered servers. Organizations can also create curated groups of tools for particular users or use cases.

TrueFoundry also provides LLM gateway and model-serving capabilities, giving platform teams the option to administer several parts of their AI infrastructure through related tooling.

That breadth can be useful for organizations building a common AI platform, although teams concerned only with MCP security may require a smaller portion of the product.

8) MintMCP

MintMCP provides a managed MCP gateway designed to centralize access to approved servers and tools.

Its platform includes enterprise identity integration, role-based authorization, credential management, tool-level controls, and centralized logging.

The product is oriented more directly around the MCP gateway function than several of the broader security platforms in this comparison. Instead of configuring separate connections between every client and MCP server, organizations can use a shared mediation point for access and credentials.

That specialization can be attractive for teams whose principal requirement is centralized MCP administration rather than a wider AI or cloud-security platform.

9) Cisco AI Defense

Cisco addresses MCP within its broader AI Defense portfolio.

Its platform includes capabilities for registering and inventorying MCP servers, scanning them, tracking their authentication configuration, and incorporating MCP assets into wider AI security management.

Cisco’s approach is therefore most relevant to enterprises looking to include MCP within an existing AI security program rather than purchasing a narrowly focused gateway.

Organizations already using Cisco security products may also benefit from keeping MCP inventory, policy, and security events within an established operational environment.

Where the Products Differ

The products in this list occupy several overlapping parts of the MCP security market.

Runlayer, Lasso Security, TrueFoundry, and MintMCP provide gateway capabilities that mediate communication between MCP clients and servers. Their designs differ in how much emphasis they place on routing, identity, credential handling, runtime inspection, and policy.

Invariant Labs and Pillar Security concentrate more heavily on identifying vulnerabilities, malicious behavior, or unsafe content.

Wiz and Cisco extend broader security platforms into MCP through discovery, inventory, posture analysis, and security context.

Aembit approaches MCP through identity and access. The MCP Identity Gateway is an enforcement component inside a broader identity control plane that establishes agent identity, preserves delegated user context, evaluates runtime policy, brokers credentials, controls tool access, supports revocation, and records the decision.

That distinction matters because one organization may need several of these controls. A scanner can identify malicious content or an unsafe server. An access platform determines who or what may reach that server and what the actor may do once connected.

How to Evaluate an MCP Security Platform

The first question is what the organization needs the product to decide.

If unauthorized access is the primary concern, examine how the product establishes agent identity, handles delegated user context, evaluates policy, limits permissions, and manages downstream credentials.

If traffic mediation is the concern, examine routing, protocol support, reliability, latency, server management, and the behavior of the gateway when several clients or servers are involved.

If malicious content is the principal risk, examine how the product detects prompt injection, poisoned tools, unsafe responses, sensitive data, and changes to previously approved tool definitions.

Tool-level authorization deserves separate attention. Granting an agent access to an MCP server can expose every tool that server offers. Organizations with sensitive operations may need policy at the individual tool level, including controls over both tool discovery and invocation.

Identity attribution is equally important. An employee-directed agent introduces at least two relevant identities: the person and the software acting for that person. Logs that preserve only one can make it difficult to establish who authorized an action, which agent performed it, and which policy permitted the request.

Credential handling should also be examined carefully. If a gateway ultimately provides an agent with a reusable downstream credential, the agent can retain authority outside the policy decision that granted the original access. Credential exchange and just-in-time issuance can reduce that exposure by keeping destination credentials away from the agent.

Finally, organizations should consider how MCP fits into the rest of their agent architecture. MCP may be an important access path without being the only one. Agents also connect directly to APIs, SaaS applications, databases, cloud services, and private systems. Security teams may prefer controls that remain consistent when the protocol or destination changes.

Where Aembit Fits

Aembit’s role begins with identity and access control for agents rather than with the gateway as the product category.

The platform establishes a trusted identity for the agent or workload, associates delegated agents with the users they represent, evaluates access policy at runtime, brokers credentials across trust boundaries, enforces the resulting decision, and records the activity.

This follows the same operating model across the platform: attest, verify, enforce, broker, and audit.

The MCP Identity Gateway is one place where those decisions are enforced. When an agent uses MCP, Aembit can evaluate agent identity and user context, determine whether access is permitted, exchange the agent’s gateway credential for the appropriate downstream credential, and restrict access to individual tools.

The gateway therefore does not define Aembit’s category. It extends Aembit’s identity and access model to a protocol that has become important for AI agents.

The same platform is designed to apply identity and access controls across workforce agents, autonomous agents, other agent types, and workloads, using shared identity, policy, credential, revocation, enforcement, and evidence capabilities.

For security teams, this provides a way to address MCP within the larger question raised by enterprise AI: Which agent is acting, whose authority does it carry, what is it permitted to reach, and what credentials should it receive?

Organizations evaluating MCP security should decide whether they need a gateway, runtime threat detection, discovery and inventory, an identity control plane, or a combination of these capabilities.

If identity and runtime access are the principal concerns, talk to an Aembit engineer or request a free Aembit tenant to see how Aembit applies policy across MCP and other agent access paths.