A MCP Gateway is the centralized entry point for your MCP (Model Context Protocol) servers. It aggregates multiple MCP servers behind a single governed endpoint, instead of each AI client connecting to every server separately.
The problem: MCP sprawl
MCP has become the standard for giving tools and context to agents. But every team deploys its own MCP servers, and clients end up connecting to dozens of them with no central control of security or access.
What an MCP Gateway adds
Aggregation: many MCP servers behind one URL.
Centralized authentication and authorization.
Per-tool access control: which client can use which tool.
Discovery of the available tools.
Security: call validation and defense against tool poisoning.
Rate limiting and observability for every invocation.
MCP Gateway, AI Gateway and Agent Gateway
They form a family of control layers for AI: the AI Gateway governs model calls, the Agent Gateway governs agent actions, and the MCP Gateway governs access to tools via MCP. Together they deliver end-to-end security and governance.
Conclusion
As MCP grows across your organization, an MCP Gateway is how you keep control: a single point where security, access and traceability are enforced across all your AI tools.
At CloudAPPI we help you expose and govern your MCP servers as part of your API and AI management strategy.