Gradient for Agents vs MCP Gateway: Side-by-Side Comparison (2026)

Gradient for Agents: Control plane securing AI agents via hardware-anchored identity and scoped tokens. built by Gradient. Core capabilities include Composite agent identity based on code, model weights, system prompt, and tools, Hardware-anchored private key generation (platform-anchored keys), Continuous sub-minute re-verification of agent identity and integrity..

MCP Gateway: Gateway for controlling AI agent access to tools and data with permissions. built by NeuralTrust. Core capabilities include Granular access control for AI agent tool usage, Role-based access control (RBAC) for agents and LLMs, Read/write operation restrictions..

Both serve the Agentic AI Security market but differ in approach, feature depth, and target audience.

Gradient for Agents differentiates with Composite agent identity based on code, model weights, system prompt, and tools, Hardware-anchored private key generation (platform-anchored keys), Continuous sub-minute re-verification of agent identity and integrity. MCP Gateway differentiates with Granular access control for AI agent tool usage, Role-based access control (RBAC) for agents and LLMs, Read/write operation restrictions.

Gradient for Agents is developed by Gradient. MCP Gateway is developed by NeuralTrust. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.

Gradient for Agents and MCP Gateway serve similar Agentic AI Security use cases: both are Agentic AI Security tools, both cover Authorization, MCP Security. Review the feature comparison above to determine which fits your requirements.