This record as markdown: /tools/io-github-ruvnet-claude-flow/rvf-build.md
What rvf_build does on Claude Flow
AI agents invoke rvf_build to trigger actions in Claude Flow. 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 rvf_build is rated High
The tool triggers compilation/assembly of a containerized application. This is an Execute-class action because it runs external build operations with side effects (generating artifacts, potentially pulling dependencies, executing build scripts) whose outcomes depend on input parameters.
From the tool's definition Tool name 'rvf_build' and description 'Build RVF container' indicate execution of a containerization process.
Attacks that exploit this kind of access
The rule that runs rvf_build safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Flow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For rvf_build, this is the rule to start with:
rvf_build 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 Claude Flow, apply this rule, and every rvf_build call is checked against it from then on.
Questions about rvf_build
Build RVF container. It is categorised as a Execute tool in the Claude Flow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Claude Flow MCP server in PolicyLayer and add a rule for rvf_build: 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 Claude Flow. Nothing to install.
rvf_build 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 rvf_build 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 rvf_build. 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.
rvf_build is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Claude Flow, and thousands of servers like it.
Across the catalogue