renef_server_deploy
Deploys renef_server and libagent.so to the connected Android device.
This record as markdown: /tools/ahmeth4n-renef-mcp/renef-server-deploy.md
What renef_server_deploy does on Renef
AI agents invoke renef_server_deploy to trigger actions in Renef. 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 renef_server_deploy is rated High
This tool performs deployment of executables and native libraries to an Android device, which is a form of code execution. It has high blast radius because it installs instrumentation and hooking capabilities (libagent.so) that can fundamentally alter the runtime behavior of the target device.
From the tool's definition Deploys renef_server and libagent.so to the connected Android device. Deployment of native libraries (libagent.so) and server components constitutes execution of code on a target system with side effects that depend on the deployed binaries' behavior.
Attacks that exploit this kind of access
The rule that runs renef_server_deploy safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Renef, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For renef_server_deploy, this is the rule to start with:
renef_server_deploy 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 Renef, apply this rule, and every renef_server_deploy call is checked against it from then on.
Questions about renef_server_deploy
Deploys renef_server and libagent.so to the connected Android device. It is categorised as a Execute tool in the Renef MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Renef MCP server in PolicyLayer and add a rule for renef_server_deploy: 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 Renef. Nothing to install.
renef_server_deploy 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 renef_server_deploy 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 renef_server_deploy. 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.
renef_server_deploy is provided by the Renef MCP server (ahmeth4n/renef-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Renef, and thousands of servers like it.
This server
Across the catalogue