This cluster covers the security, authentication, monitoring, and governance challenges that arise when deploying MCP servers at scale — from gateway architecture and tool poisoning defense to building an MCP server catalog and operationalizing MCP for the enterprise. As MCP adoption grows, these guides give you the framework to do it securely.
A complete guide to MCP gateways: what they add to MCP servers and why enterprises need one.
Authentication, authorization, transport security, and supply-chain risks for MCP server deployments.
The architectural difference between an MCP gateway and an MCP proxy — and when to use each.
How to evaluate, approve, and monitor third-party MCP servers used by internal AI agents.
How to wrap existing REST APIs as MCP tools so AI agents can use them without custom integration code.
The security vulnerabilities specific to MCP deployments — and how to mitigate them at the gateway layer.
How to register, document, and surface APIs so AI agents can find and use them automatically.
OAuth 2.1, API keys, and mTLS for authenticating MCP servers and the agents that call them.
How to build an internal catalog of approved MCP servers for enterprise AI agent deployments.
Observability patterns for tracking which agents are calling which tools, with what inputs and outputs.
How malicious MCP servers manipulate agent behavior and how to detect and prevent tool poisoning attacks.
MCP SDKs, server frameworks, and gateway implementations across the ecosystem compared.
Everything you need to deploy and operate MCP infrastructure reliably across a large organization.
Govern MCP servers with WSO2
WSO2 API Manager's MCP gateway layer adds authentication, authorization, rate limiting, and audit logging to every MCP server connection in your environment.