High Risk →

rocketflow_deploy

Deploy a RocketFlow JSON workflow to the CRM. Automatically detects type and deploys contacts, custom fields, custom values, tags, pipelines, or workflows.

Part of the Rocket Plus MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

rocket-plus-mcp Execute Risk 3/5

AI agents invoke rocketflow_deploy to trigger processes or run actions in Rocket Plus. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

rocketflow_deploy can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

io-github-crypto-goatz-rocket-plus-mcp.yaml
tools:
  rocketflow_deploy:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Rocket Plus policy for all 106 tools.

Tool Name rocketflow_deploy
Category Execute
Risk Level High

View all 106 tools →

Agents calling execute-class tools like rocketflow_deploy have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

rocketflow_deploy is one of the high-risk operations in Rocket Plus. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the rocketflow_deploy tool do? +

Deploy a RocketFlow JSON workflow to the CRM. Automatically detects type and deploys contacts, custom fields, custom values, tags, pipelines, or workflows.. It is categorised as a Execute tool in the Rocket Plus MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on rocketflow_deploy? +

Add a rule in your Intercept YAML policy under the tools section for rocketflow_deploy. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Rocket Plus MCP server.

What risk level is rocketflow_deploy? +

rocketflow_deploy is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit rocketflow_deploy? +

Yes. Add a rate_limit block to the rocketflow_deploy rule in your Intercept 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.

How do I block rocketflow_deploy completely? +

Set action: deny in the Intercept policy for rocketflow_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.

What MCP server provides rocketflow_deploy? +

rocketflow_deploy is provided by the Rocket Plus MCP server (rocket-plus-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Rocket Plus

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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