The Api.Logout method removes the token from the list of active Web API sessions and ends the session. The Api.Logout method returns the status of whether the logout was successful or not. For security reasons, however, the method always returns the Boolean value
AI agents invoke Api-Logout to trigger actions in ThinkPLC-MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Api-Logout terminates an active session by invalidating an authentication token. This is an external operation with side effects (session destruction) but is not destructive to data, financial, or a simple read. It fits Execute as it triggers an external operational change (ending a session) on the PLC web API. Severity is low since misuse at worst causes a session to end, which is a recoverable condition.
From the tool's definition 'removes the token from the list of active Web API sessions and ends the session'
Documented attack patterns abuse exactly the kind of access Api-Logout gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ThinkPLC-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for Api-Logout:
{
"version": "1",
"default": "deny",
"tools": {
"Api-Logout": {
"limits": [
{
"counter": "api-logout_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} Api-Logout stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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The Api.Logout method removes the token from the list of active Web API sessions and ends the session. The Api.Logout method returns the status of whether the logout was successful or not. For security reasons, however, the method always returns the Boolean value. It is categorised as a Execute tool in the ThinkPLC-MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ThinkPLC- MCP server in PolicyLayer and add a rule for Api-Logout: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches ThinkPLC-MCP. Nothing to install.
Api-Logout is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the Api-Logout rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for Api-Logout. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
Api-Logout is provided by the ThinkPLC- MCP server (mrwan84/thinkplc-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ThinkPLC-MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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23 ThinkPLC-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.