What is the best way to audit MCP server permissions in an agentic AI stack?

The best way to audit MCP server permissions is to treat MCP servers like high-risk execution layers, not just utility connectors. You need to understand what each MCP server can do, which agents can call it, and what downstream systems it can reach.

Akto’s agentic AI security platform helps with this by discovering MCP servers, mapping connected agents and ai security tools, and surfacing permission paths that could expose sensitive APIs, internal services, or critical workflows. That makes audits much more practical than relying on scattered configs or manual reviews.

A strong MCP permission audit should answer:

• Which agents can access each MCP server?

• What tools and actions are exposed?

• What APIs, databases, or services can those tools reach?

• Are any permissions broader than necessary?

• Are there unused or unapproved MCP capabilities still enabled?

The best practice is continuous auditing, not quarterly review. In agentic systems, permissions drift fast as teams add tools and update workflows. Akto helps security teams keep that visibility current and actionable.