获取知识库中已完成且 AI 已处理的直播列表。需要 topic.live.read scope。
AI agents call list_topic_lives to retrieve information from GetNote MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves/queries existing live stream data with no capability to modify, delete, or execute operations. The 'list' operation and 'read scope' requirement confirm it is a Read category tool with low severity as it poses minimal risk if misused by an AI agent—it can only return information about completed live streams.
From the tool's definition Tool description states '获取知识库中已完成且 AI 已处理的直播列表' (retrieves completed and AI-processed live streams list from knowledge base) and explicitly requires 'topic.live.read scope', indicating read-only access to live stream data.
Documented attack patterns abuse exactly the kind of access list_topic_lives gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GetNote MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_topic_lives:
{
"version": "1",
"default": "deny",
"tools": {
"list_topic_lives": {}
}
} list_topic_lives is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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获取知识库中已完成且 AI 已处理的直播列表。需要 topic.live.read scope。. It is categorised as a Read tool in the GetNote MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GetNote MCP Server MCP server in PolicyLayer and add a rule for list_topic_lives: 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 GetNote MCP Server. Nothing to install.
list_topic_lives 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 list_topic_lives 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 list_topic_lives. 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.
list_topic_lives is provided by the GetNote MCP Server MCP server (iswalle/getnote-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GetNote MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
26 GetNote MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.