This record as markdown: /tools/atharva-joshi77-cdp-mcp/cdp-logout.md
What cdp_logout does on CDP MCP Server
AI agents invoke cdp_logout to trigger actions in CDP MCP Server. 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.
Why cdp_logout is rated High
This tool performs a POST request that executes a logout action against an external authentication system. It is not a simple read, nor does it delete or modify stored data — it terminates an authenticated session, which is an external operation with side effects (invalidating tokens/sessions). Execute is the most appropriate category.
From the tool's definition POST /authentication?action=logout — triggers an external authentication operation (logout action) on the CDP API
Attacks that exploit this kind of access
The rule that runs cdp_logout safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CDP MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For cdp_logout, this is the rule to start with:
cdp_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.
The button opens the PolicyLayer dashboard: create your workspace, connect CDP MCP Server, apply this rule, and every cdp_logout call is checked against it from then on.
Questions about cdp_logout
POST /authentication?action=logout. It is categorised as a Execute tool in the CDP MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the CDP MCP Server MCP server in PolicyLayer and add a rule for cdp_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 CDP MCP Server. Nothing to install.
cdp_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 cdp_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 cdp_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.
cdp_logout is provided by the CDP MCP Server MCP server (atharva-joshi77/cdp-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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