Low Risk

fetch_multiple_feeds

Batch fetch multiple RSS feeds with success/error status for each

How to control fetch_multiple_feeds ↓

What fetch_multiple_feeds does on Mcp Rss

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

Low Risk

Why fetch_multiple_feeds needs a policy

This tool retrieves and parses RSS feed content, which is a read-only operation with no side effects. Fetching RSS feeds does not modify data, execute arbitrary code, trigger external operations, delete data, or move money. The batch fetching capability does not change the fundamental read-only nature of the operation. The success/error status reporting is informational only.

From the tool's definition Tool name 'fetch_multiple_feeds' and description 'Batch fetch multiple RSS feeds with success/error status for each' indicate retrieval of publicly available RSS feed data without modification, deletion, or execution of code.

Documented attack patterns abuse exactly the kind of access fetch_multiple_feeds gives an agent:

How to control fetch_multiple_feeds

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Rss, and nothing reaches the server without passing your rules. This is the rule we recommend for fetch_multiple_feeds:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "fetch_multiple_feeds": {}
  }
}

fetch_multiple_feeds is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Mcp Rss — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Questions about fetch_multiple_feeds

What does the fetch_multiple_feeds tool do? +

Batch fetch multiple RSS feeds with success/error status for each. It is categorised as a Read tool in the Mcp Rss MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fetch_multiple_feeds? +

Register the Mcp Rss MCP server in PolicyLayer and add a rule for fetch_multiple_feeds: 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 Rss. Nothing to install.

What risk level is fetch_multiple_feeds? +

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

Can I rate-limit fetch_multiple_feeds? +

Yes. Add a rate_limit block to the fetch_multiple_feeds 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_multiple_feeds completely? +

Set action: deny in the PolicyLayer policy for fetch_multiple_feeds. 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_multiple_feeds? +

fetch_multiple_feeds is provided by the Mcp Rss MCP server (missionsquad/mcp-rss). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Rss tool call.

Start from Mcp Rss, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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6 Mcp Rss tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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