Use this when the user asks to deploy or publish a website or web app and wants a public URL. Before generating files or calling this tool, you must call get_deploy_instructions and follow its constraints.
Accepts file system path (files[].file); Accepts raw HTML/template content (files[].content); High parameter count (20 properties)
Part of the AppDeploy MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke deploy_app to trigger processes or run actions in AppDeploy. 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.
deploy_app 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.
tools:
deploy_app:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full AppDeploy policy for all 11 tools.
Agents calling execute-class tools like deploy_app have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
deploy_app is one of the high-risk operations in AppDeploy. 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.
Use this when the user asks to deploy or publish a website or web app and wants a public URL. Before generating files or calling this tool, you must call get_deploy_instructions and follow its constraints.. It is categorised as a Execute tool in the AppDeploy MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for deploy_app. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AppDeploy MCP server.
deploy_app 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 deploy_app 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.
Set action: deny in the Intercept policy for deploy_app. 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.
deploy_app is provided by the AppDeploy MCP server (appdeploy/deploy). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept