fetch_url

Fetch a URL, convert to markdown. SSRF-protected and cached.

Server mcp Research mabaam/maibaamcrawler
Category Read
Risk class Low
Parameters 00 required

What fetch_url does on mcp Research

AI agents call fetch_url to retrieve information from mcp Research without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why fetch_url needs a policy

This tool retrieves and converts content from a URL to markdown format. It performs no modifications, deletions, or external operations beyond fetching. SSRF protection is a security measure limiting potential misuse. The read-only nature and explicit caching indicate this is a data retrieval mechanism with minimal blast radius.

From the tool's definition Tool description explicitly states 'Fetch a URL, convert to markdown' with 'SSRF-protected and cached' — retrieval operation with no side effects. Server description confirms 'read-only tools' and 'secure URL fetching with markdown conversion.'

Questions about fetch_url

What does the fetch_url tool do? +

Fetch a URL, convert to markdown. SSRF-protected and cached. It is categorised as a Read tool in the mcp Research MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fetch_url? +

Register the mcp Research MCP server in PolicyLayer and add a rule for fetch_url: 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 Research. Nothing to install.

What risk level is fetch_url? +

fetch_url is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit fetch_url? +

Yes. Add a rate_limit block to the fetch_url 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.

How do I block fetch_url completely? +

Set action: deny in the PolicyLayer policy for fetch_url. 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.

What MCP server provides fetch_url? +

fetch_url is provided by the mcp Research MCP server (mabaam/maibaamcrawler). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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