High Risk →

execute_r_async

Run long-running R code in background

Runs arbitrary R code asynchronously

Part of the ClaudeR - RStudio MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

clauder-mcp Execute Risk 5/5

AI agents invoke execute_r_async to trigger processes or run actions in ClaudeR - RStudio MCP Server. 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.

execute_r_async 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.

clauder-rstudio-mcp-server.yaml
tools:
  execute_r_async:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full ClaudeR - RStudio MCP Server policy for all 13 tools.

Tool Name execute_r_async
Category Execute
Risk Level High

View all 13 tools →

Agents calling execute-class tools like execute_r_async 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.

execute_r_async is one of the high-risk operations in ClaudeR - RStudio MCP Server. 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 execute_r_async tool do? +

Run long-running R code in background. It is categorised as a Execute tool in the ClaudeR - RStudio MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_r_async? +

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

What risk level is execute_r_async? +

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

Can I rate-limit execute_r_async? +

Yes. Add a rate_limit block to the execute_r_async 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 execute_r_async completely? +

Set action: deny in the Intercept policy for execute_r_async. 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 execute_r_async? +

execute_r_async is provided by the ClaudeR - RStudio MCP Server MCP server (clauder-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on ClaudeR - RStudio MCP Server

Open source. One binary. Zero dependencies.

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

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