Execute a custom curl command with full control
AI agents invoke curl_custom to trigger actions in Curl MCP Server. 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.
This tool allows execution of arbitrary curl commands determined by the user/agent. While curl itself is primarily a network utility, the ability to execute 'custom' commands with 'full control' means an agent could craft requests to exfiltrate data, interact with internal systems, or trigger unintended side effects on remote servers. The lack of apparent input constraints elevates this to Execute rather than Write.
From the tool's definition Tool description states 'Execute a custom curl command with full control' — the word 'Execute' combined with 'custom' and 'full control' indicates arbitrary command execution with user-supplied parameters.
Attacks that exploit this kind of access
Execute a custom curl command with full control. It is categorised as a Execute tool in the Curl MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Curl MCP Server MCP server in PolicyLayer and add a rule for curl_custom: 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 Curl MCP Server. Nothing to install.
curl_custom 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 curl_custom 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 curl_custom. 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.
curl_custom is provided by the Curl MCP Server MCP server (neeraj15022001/curl-mcp-server). 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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