scrape_knowledge_url

Fetch a URL's content into the knowledge base. Server crawls the URL, stores the response body in R2, returns the new document ID. Failures store the row with status='failed'. Use for adding marketing pages, FAQ docs, or external references the agent should be aware of.

SERVERFavCRM SOURCEhttps://api.favcrm.io/mcp
Medium RISK CLASS
Category Write
Parameters 11 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-favcrm-favcrm/scrape-knowledge-url.md

What scrape_knowledge_url does on FavCRM

AI agents use scrape_knowledge_url to create or update resources in FavCRM, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FavCRM environment.

ParameterTypeRequiredDescription
url string Yes URL to fetch (must be https / http and publicly reachable)

Parameters from the server's own tool schema.

Why scrape_knowledge_url is rated Medium

This tool fetches external URL content and writes it into the knowledge base (stored in R2 object storage). It creates a new document record, which is a reversible write operation. The severity is medium because a malicious or erroneous URL could pollute the knowledge base with harmful or misleading content that an AI agent may later rely upon, but the action itself is not irreversible (records can be deleted).

From the tool's definition Fetch a URL's content into the knowledge base... stores the response body in R2, returns the new document ID

Risk signalsAccepts URL/endpoint input (url)

Questions about scrape_knowledge_url

What does the scrape_knowledge_url tool do? +

Fetch a URL's content into the knowledge base. Server crawls the URL, stores the response body in R2, returns the new document ID. Failures store the row with status='failed'. Use for adding marketing pages, FAQ docs, or external references the agent should be aware of. It is categorised as a Write tool in the FavCRM MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does scrape_knowledge_url accept? +

scrape_knowledge_url accepts 1 parameter: url. Required: url. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on scrape_knowledge_url? +

Register the FavCRM MCP server in PolicyLayer and add a rule for scrape_knowledge_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 FavCRM. Nothing to install.

What risk level is scrape_knowledge_url? +

scrape_knowledge_url is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit scrape_knowledge_url? +

Yes. Add a rate_limit block to the scrape_knowledge_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 scrape_knowledge_url completely? +

Set action: deny in the PolicyLayer policy for scrape_knowledge_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 scrape_knowledge_url? +

scrape_knowledge_url is provided by the FavCRM MCP server (https://api.favcrm.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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