scrape_podcast · MCP Podcast Scraper MCP: Risk & Policy

WHAT IT DOES

What scrape_podcast does on MCP Podcast Scraper

AI agents invoke scrape_podcast to trigger actions in MCP Podcast Scraper. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why scrape_podcast needs a policy

This tool actively fetches remote content (scraping YouTube or RSS feeds) and invokes an external third-party transcription service (Deepgram). It is not a passive read; it triggers network requests and API calls whose effects depend on the provided arguments. No data is deleted or money moved, but the Execute category fits because it runs external operations.

From the tool's definition 'Scrape a podcast episode and transcribe it' — triggers external HTTP scraping of YouTube/RSS feeds and calls Deepgram's Nova-2 API for transcription, constituting external operations with side effects beyond simple data retrieval.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

scrape_podcast Rate-limited

scrape_podcast stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "scrape_podcast": {
      "limits": [
        {
          "counter": "scrape_podcast_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCP Podcast Scraper, so you can run agents against it safely.

FAQ

Questions about scrape_podcast

What does the scrape_podcast tool do? +

Scrape a podcast episode and transcribe it. Returns transcript file path. Use get_transcript to read it, then save_summary after summarizing. It is categorised as a Execute tool in the MCP Podcast Scraper MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on scrape_podcast? +

Register the MCP Podcast Scraper MCP server in PolicyLayer and add a rule for scrape_podcast: 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 Podcast Scraper. Nothing to install.

What risk level is scrape_podcast? +

scrape_podcast is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit scrape_podcast? +

Yes. Add a rate_limit block to the scrape_podcast 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_podcast completely? +

Set action: deny in the PolicyLayer policy for scrape_podcast. 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_podcast? +

scrape_podcast is provided by the MCP Podcast Scraper MCP server (walid-koleilat/mcp-podcast-scraper). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.