This tool leverages Anthropic's Claude model to autonomously execute complex browser tasks with sophisticated reasoning capabilities using a cloud browser. It specializes in handling intricate, nuanced, or highly context-sensitive web interactions. Optimal for tasks requiring: - Complex reasonin...
High parameter count (11 properties)
Part of the Hyperbrowser MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke claude_computer_use_agent to trigger processes or run actions in Hyperbrowser. 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.
claude_computer_use_agent 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:
claude_computer_use_agent:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Hyperbrowser policy for all 10 tools.
Agents calling execute-class tools like claude_computer_use_agent 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.
claude_computer_use_agent is one of the high-risk operations in Hyperbrowser. 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.
This tool leverages Anthropic's Claude model to autonomously execute complex browser tasks with sophisticated reasoning capabilities using a cloud browser. It specializes in handling intricate, nuanced, or highly context-sensitive web interactions. Optimal for tasks requiring: - Complex reasoning over multiple web pages - Nuanced interpretation and flexible decision-making - Human-like interaction with detailed context awareness Best suited use cases include: - Multi-step processes requiring reasoning (e.g., detailed registrations or onboarding) - Interacting intelligently with advanced web apps - Conducting in-depth research with complex conditions - Extracting information from dynamic or interactive websites Provide detailed task instructions, relevant context, and clearly specify the desired outcome for best results. Returns the completed result or an error message if issues arise.. It is categorised as a Execute tool in the Hyperbrowser 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 claude_computer_use_agent. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Hyperbrowser MCP server.
claude_computer_use_agent 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 claude_computer_use_agent 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 claude_computer_use_agent. 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.
claude_computer_use_agent is provided by the Hyperbrowser MCP server (hyperbrowserai/mcp). 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