MCP turns prompts into actions
The Model Context Protocol makes tools reachable from agents. If every tool is reachable by default, prompt injection and agent mistakes become operational risk.
MCP server security
MCP servers expose real business capabilities to AI agents: databases, shells, SaaS APIs, browsers, logs, finance systems and internal services. AgentGate sits between agents and MCP servers, enforcing policy before each tool call reaches the upstream server.
What this page helps you solve
Understand how to secure Model Context Protocol servers with an MCP authorization proxy, access control, audit logs and human approval before a tool executes.
Create a live workspace. No production credentials required.
Plan a managed, private or self-hosted deployment.
The Model Context Protocol makes tools reachable from agents. If every tool is reachable by default, prompt injection and agent mistakes become operational risk.
Tool inventories change as teams add servers and integrations. Unknown or newly discovered tools should not be allowed silently.
A gateway only protects traffic that passes through it. Teams need a clear control point and deployment model that makes the secure path the default.
External risk signals
These third-party benchmarks are not AgentGate performance claims. They explain why buyers now ask for governance, authorization, auditability and data protection before approving agentic workflows.
$4.99M
IBM Cost of a Data Breach Report 2026 reports a record global average breach cost and highlights rising AI-driven attack pressure.
IBM Cost of a Data Breach Report 202656%
IBM frames AI-driven attacks as a major driver of new security spending and governance requirements.
IBM Cost of a Data Breach Report 202631%
Verizon DBIR 2026 reports software vulnerabilities as a leading breach entry point, relevant to agents that can run code and touch production systems.
Verizon DBIR 2026LLM01
OWASP identifies prompt injection as a major LLM application risk that can lead to unauthorized access, data exposure and compromised decisions.
OWASP Top 10 for LLM ApplicationsA tool call with no matching policy is blocked. New agents and tools start from explicit authorization rather than implicit trust.
AgentGate discovers MCP tools, records schemas and capabilities, and surfaces high-risk functions before they are used in production.
Policy, database or approval errors block execution instead of allowing unknown behavior through to upstream MCP servers.
Teams can connect more MCP servers without turning every integration into an unrestricted agent capability.
Security, platform and engineering teams share one view of agents, tools, policies, approvals and audit events.
Enterprise buyers can see how AI automation is governed before it touches their data or infrastructure.
Start a live workspace and place AgentGate in front of one MCP server to verify policy decisions, risk alerts and audit evidence.
Create a live workspace. No production credentials required.
Plan a managed, private or self-hosted deployment.