Load a specific chapter/topic from an episode with full context.
AI agents call get_chapter to retrieve information from Lenny RAG MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing podcast content without side effects. It does not create, modify, delete, or execute any operations—it only surfaces information from the RAG knowledge base. The lowest severity is appropriate as misuse would only affect what content an agent can view, not data integrity or system stability.
From the tool's definition The tool 'get_chapter' retrieves a specific chapter or topic from an episode with full context. The verb 'Load' and noun phrases 'retrieve/fetch' are characteristic of read operations.
Documented attack patterns abuse exactly the kind of access get_chapter gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Lenny RAG MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_chapter:
{
"version": "1",
"default": "deny",
"tools": {
"get_chapter": {}
}
}get_chapter is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Load a specific chapter/topic from an episode with full context. It is categorised as a Read tool in the Lenny RAG MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Lenny RAG MCP Server MCP server in PolicyLayer and add a rule for get_chapter: 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 Lenny RAG MCP Server. Nothing to install.
get_chapter is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_chapter 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.
Set action: deny in the PolicyLayer policy for get_chapter. 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.
get_chapter is provided by the Lenny RAG MCP Server MCP server (mpnikhil/lenny-rag-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Lenny RAG MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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4 Lenny RAG MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.