Batch execute multiple operations (read/stat/glob/bash). Max 20 per request, more efficient than multiple individual calls.
AI agents invoke remote_batch to trigger actions in Mcp Remote Agent. 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.
Although this tool can perform read operations (read/stat/glob), it explicitly supports bash command execution, which falls under the Execute category. Batch execution of shell commands poses significant risk if an AI agent constructs malicious or unintended bash operations. The 'more efficient than multiple individual calls' design suggests this is intended as a primary execution interface.
From the tool's definition Tool description states 'Batch execute multiple operations (read/stat/glob/bash)' — the inclusion of 'bash' indicates execution of arbitrary shell commands. Server description confirms 'execute commands on Linux servers via MCP protocol.'
Attacks that exploit this kind of access
Batch execute multiple operations (read/stat/glob/bash). Max 20 per request, more efficient than multiple individual calls. It is categorised as a Execute tool in the Mcp Remote Agent MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Remote Agent MCP server in PolicyLayer and add a rule for remote_batch: 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 Mcp Remote Agent. Nothing to install.
remote_batch 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 remote_batch 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 remote_batch. 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.
remote_batch is provided by the Mcp Remote Agent MCP server (knownothing20/agentport). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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