analyze_channel

THE RISK

Low Risk

Why analyze_channel needs a policy

This tool retrieves publicly available YouTube data (transcripts and comments) without modifying, deleting, or executing operations on YouTube or external systems. It performs aggregation and analysis of existing data, which is a read operation. No side effects or irreversible actions are possible.

From the tool's definition Tool description states 'Collect transcripts and comments from a specific YouTube channel's recent videos.' The verb 'collect' paired with 'transcripts and comments' indicates data retrieval only.

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

POLICY

How to control analyze_channel

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_channel": {}
  }
}

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

Create a free account and register Youtube Research — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Youtube Research tools

Read analyze_videos Collect transcripts, metadata, and optional comments for specific videos. Read collect_research_discussions Search YouTube and collect transcript plus comments for each usable video. Read collect_research_sources Search YouTube and collect transcript-ready sources for analysis. Read collect_video_discussion Collect one video's transcript plus comments for discussion analysis. Read get_capabilities Return which tools are available based on current configuration. Read get_quota_usage Return today's YouTube Data API quota usage and remaining estimate. Read get_transcript Fetch a YouTube transcript by URL or video ID. Read get_video_comments Fetch top-level YouTube comments for one video.

All 10 Youtube Research tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about analyze_channel

What does the analyze_channel tool do? +

Collect transcripts and comments from a specific YouTube channel's recent videos. It is categorised as a Read tool in the Youtube Research MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_channel? +

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

What risk level is analyze_channel? +

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

Can I rate-limit analyze_channel? +

Yes. Add a rate_limit block to the analyze_channel 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 analyze_channel completely? +

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

analyze_channel is provided by the Youtube Research MCP server (lee-s-dev/youtube-research-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Youtube Research tool call.

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

CHECK YOUR STACK →