MCP Authorization

MCP authorization is the control layer that decides which tools, data sources and actions an MCP client may use through an MCP server. The Model Context Protocol is powerful because it gives AI systems a standard way to reach files, databases, APIs and internal workflows. That same power becomes risky when authorization is vague: an agent may discover a tool, but the system still has to know which user it is acting for, which permissions apply, how long access lasts and whether the requested action is allowed in that context. Strong MCP authorization separates identity, consent, scope and runtime enforcement. It can use OAuth, short-lived tokens, tenant-aware roles, per-tool scopes and server-side approval checks, but the important part is where the decision lives. It should not be hidden in a prompt or left to model judgment; it needs to be enforced by protocol, infrastructure and logs. In production agent systems, MCP authorization turns natural-language requests into bounded system actions. The agent can still get work done, but it cannot freely cross into sensitive data, privileged APIs or destructive operations just because a user phrased a request convincingly.