extract_chapters

Extract chapter timestamps from a YouTube video\

Server YouTube MCP Server wynandw87/claude-code-youtube-mcp
Category Read
Risk class Low
Parameters 00 required

What extract_chapters does on YouTube MCP Server

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

Why extract_chapters needs a policy

This tool retrieves chapter timestamp information from a video without modifying, deleting, or executing operations. It is a read-only data extraction function similar to the sibling tools get_video_metadata, get_transcript, and get_most_replayed. No side effects or destructive actions are possible.

From the tool's definition Tool name 'extract_chapters' and description 'Extract chapter timestamps from a YouTube video' indicate retrieval of metadata only.

Questions about extract_chapters

What does the extract_chapters tool do? +

Extract chapter timestamps from a YouTube video\. It is categorised as a Read tool in the YouTube MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_chapters? +

Register the YouTube MCP Server MCP server in PolicyLayer and add a rule for extract_chapters: 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 MCP Server. Nothing to install.

What risk level is extract_chapters? +

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

Can I rate-limit extract_chapters? +

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

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

extract_chapters is provided by the YouTube MCP Server MCP server (wynandw87/claude-code-youtube-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.