start_caido_service
A execute tool on the Pentester- MCP server.
This record as markdown: /tools/halilkirazkaya-pentester-mcp/start-caido-service.md
What start_caido_service does on Pentester-MCP
AI agents invoke start_caido_service to trigger actions in Pentester-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.
Why start_caido_service is rated High
This tool starts an external service (Caido) that performs dynamic web application testing. While not destructive by itself, starting such a service enables execution of security testing operations whose effects depend on how agents configure and use it.
From the tool's definition Tool named 'start_caido_service' on a penetration testing server; Caido is a web security testing platform that intercepts, analyzes, and modifies HTTP traffic.
Attacks that exploit this kind of access
The rule that runs start_caido_service safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pentester-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For start_caido_service, this is the rule to start with:
start_caido_service 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 Pentester-MCP, apply this rule, and every start_caido_service call is checked against it from then on.
Questions about start_caido_service
start_caido_service is a execute tool on the Pentester MCP server. It is categorised as a Execute tool in the Pentester-MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pentester MCP server in PolicyLayer and add a rule for start_caido_service: 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 Pentester-MCP. Nothing to install.
start_caido_service 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 start_caido_service 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 start_caido_service. 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.
start_caido_service is provided by the Pentester MCP server (halilkirazkaya/pentester-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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