MCP Gateway
Gateway for controlling AI agent access to tools and data with permissions
MCP Gateway
Gateway for controlling AI agent access to tools and data with permissions
Data verified May 2026
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MCP Gateway is a security governance layer that sits between AI agents and the tools they interact with. The product provides centralized control over which tools AI agents can access and use within an organization's infrastructure. The gateway enables administrators to define access controls that determine which large language models or agents can access specific tools. It supports granular permission management including role-based access controls, read/write operation restrictions, and privilege boundary enforcement. The system establishes trust boundaries to prevent unauthorized tool invocation and protect sensitive resources. MCP Gateway maintains full auditability by tracking which LLM accessed which tool, along with associated permissions and purposes. The product is designed for organizations deploying multiple AI agents that require access to numerous tools, providing centralized security governance to manage the expanding risk surface. The solution operates with sub-10ms latency on GPU and minimal overhead on CPU. It is compatible with the Model Context Protocol (MCP) standard and supports thousands of tools. The gateway integrates into agent-native architectures and multi-agent GenAI systems, providing policy control through a unified engine for RBAC, routing, and validation rules.
MCP Gateway FAQ
Common questions about MCP Gateway including features, pricing, alternatives, and user reviews.
MCP Gateway is Gateway for controlling AI agent access to tools and data with permissions, developed by NeuralTrust. It is a AI Security solution designed to help security teams with Authorization, MCP Security.
MCP Gateway offers the following core capabilities:
1.Granular access control for AI agent tool usage
2.Role-based access control (RBAC) for agents and LLMs
3.Read/write operation restrictions
4.Trust boundary enforcement
5.Full audit trail of agent-tool interactions
6.Sub-10ms latency on GPU
7.Unified policy engine for routing and validation
8.MCP protocol compatibility
9.Real-time unauthorized tool invocation prevention
MCP Gateway is deployed as a cloud solution, suited to mid-market, enterprise organizations looking to operationalize ai security. The commercial offering is positioned for production security operations with vendor support and SLAs.
MCP Gateway is built for security teams handling Authorization, MCP Security. It supports workflows including granular access control for ai agent tool usage, role-based access control (rbac) for agents and llms, read/write operation restrictions. Teams typically adopt MCP Gateway when they need to ai security capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/mcp-gateway
MCP Gateway is a commercial AI Security solution. For detailed pricing information, visit https://neuraltrust.ai/mcp-gateway or contact NeuralTrust directly.
Popular alternatives to MCP Gateway include:
1.Enkrypt AI MCP Gateway - Open-source control plane for MCP tool traffic with inline policy enforcement (Commercial)
2.Permit Enterprise-Grade AI Agent Security - Enterprise security platform for AI agents from Permit (Commercial)
3.Obot MCP Gateway - Enterprise MCP gateway for managing, securing & controlling AI agent access to systems (Commercial)
4.authID Mandate - AI agent identity lifecycle mgmt with biometric human sponsorship. (Commercial)
5.IndyKite AgentControl - Governs autonomous AI agents with context-aware authz, policy control & audit. (Commercial)
Compare all MCP Gateway alternatives at https://cybersectools.com/alternatives/mcp-gateway
MCP Gateway is for security teams and organizations that need Authorization, MCP Security. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other AI Security tools can be found at https://cybersectools.com/categories/ai-security
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