This record as markdown: /tools/247arjun-mcp-curl/curl-put.md
What curl_put does on Curl MCP Server
AI agents use curl_put to create or update resources in Curl MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Curl MCP Server environment.
Why curl_put is rated Medium
HTTP PUT semantics create or fully replace a resource at the target URI. This is a Write operation (reversible in principle, though it overwrites existing data). It can interact with arbitrary external APIs, giving an AI agent broad reach to modify remote resources, hence high severity.
From the tool's definition 'Make an HTTP PUT request using curl' — PUT requests create or replace resources at a specified URL
Attacks that exploit this kind of access
The rule that runs curl_put safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Curl MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For curl_put, this is the rule to start with:
curl_put stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Curl MCP Server, apply this rule, and every curl_put call is checked against it from then on.
Questions about curl_put
Make an HTTP PUT request using curl. It is categorised as a Write tool in the Curl MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Curl MCP Server MCP server in PolicyLayer and add a rule for curl_put: 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_put is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the curl_put 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_put. 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_put is provided by the Curl MCP Server MCP server (247arjun/mcp-curl). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Curl MCP Server, and thousands of servers like it.
This server
Across the catalogue