Extract and process content from a list of URLs. Can handle up to 20 URLs at once.
AI agents call extract to retrieve information from MCP Tavily without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The extract tool fetches and processes content from external URLs without creating, modifying, deleting, or executing operations on the target systems. It is purely data retrieval. The ability to handle up to 20 URLs simultaneously does not change the fundamental read-only nature.
From the tool's definition Tool description states it 'Extract and process content from a list of URLs' — a retrieval and processing operation with no modification or deletion of data.
Documented attack patterns abuse exactly the kind of access extract gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Tavily, and nothing reaches the server without passing your rules. This is the rule we recommend for extract:
{
"version": "1",
"default": "deny",
"tools": {
"extract": {}
}
}extract is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Extract and process content from a list of URLs. Can handle up to 20 URLs at once. It is categorised as a Read tool in the MCP Tavily MCP Server, which means it retrieves data without modifying state.
Register the MCP Tavily MCP server in PolicyLayer and add a rule for extract: 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 Tavily. Nothing to install.
extract 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 extract 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 extract. 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.
extract is provided by the MCP Tavily MCP server (kshern/mcp-tavily). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Tavily, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
4 MCP Tavily tools catalogued and risk-classified — across an index of 43,000+ MCP servers.