Fetches a website and returns its content
AI agents call mcp_fetch to retrieve information from MCP Server Template for Cursor IDE without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves remote content (HTML, text, etc.) from a website without side effects. It is a read-only operation similar to a GET request or web scraper. No data is created, modified, deleted, or executed.
From the tool's definition Tool description states it 'Fetches a website and returns its content' — a straightforward retrieval operation with no modification or execution of code.
Attacks that exploit this kind of access
Fetches a website and returns its content. It is categorised as a Read tool in the MCP Server Template for Cursor IDE MCP Server, which means it retrieves data without modifying state.
Register the MCP Server Template for Cursor IDE MCP server in PolicyLayer and add a rule for mcp_fetch: 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 Server Template for Cursor IDE. Nothing to install.
mcp_fetch is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the mcp_fetch 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 mcp_fetch. 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.
mcp_fetch is provided by the MCP Server Template for Cursor IDE MCP server (jankowtf/mcp-hitchcode). 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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