An MCP security assessment reviews the tool layer behind AI agents: MCP servers, tool handlers, command construction, parameters, permissions, secrets, logs, and data paths. It asks what the tool-connected system can access, execute, or leak.
MCP changes the risk shape
Model Context Protocol is useful because it gives agents a standardized way to use tools. That same usefulness is the security issue. A model output can become a filesystem action, an API call, a database query, a cloud operation, or a workflow update.
The failure mode is not only that the model says something wrong. The failure mode is that the connected tool layer does something the business did not authorize.
Access
Start by inventorying what each MCP server and tool can reach. That includes files, repositories, secrets, environment variables, customer records, internal APIs, support systems, cloud resources, and document stores.
Then test the boundaries that matter: tenant isolation, role scope, object-level authorization, credential handling, and whether one user or agent can reach another user's context.
Execute
Execution risk lives in command construction and workflow side effects. Review parameters, shell calls, API actions, unsafe defaults, retries, rollback behavior, and prompt-to-tool injection paths.
The question is whether an attacker, a malicious document, or an unexpected prompt can cause an agent to run a command, call a tool, mutate data, or trigger a workflow outside intent.
Leak
Leakage can happen through logs, error messages, retrieved files, command output, tool responses, traces, support evidence, or model replies. MCP assessments should follow the data after the tool runs, not stop at the tool boundary.
What good evidence looks like
A useful assessment produces a scoped inventory, verified findings, reproduction-safe proof, fix guidance, retest-ready closure notes, and clear Rules of Engagement. For enterprise buyers, the output should also support customer security review and SOC 2 readiness evidence.
CyberGuard treats MCP as one of the clearest wedges for AI agent security because MCP is where agents get hands.