hub_search_mcp_servers
搜尋官方 MCP Registry 的 MCP 伺服器,可依關鍵字、分類、是否可遠端連線篩選。分類:資料庫、檔案與文件、瀏覽器與爬蟲、搜尋、開發工具、雲端與基礎設施、通訊與協作、財經與加密、地圖與旅遊、設計與多媒體、AI 與模型、電商與行銷、資安
This record as markdown: /tools/com-penguindriver-hub/hub-search-mcp-servers.md
What hub_search_mcp_servers does on AI 代理人任務中樞
AI agents call hub_search_mcp_servers to retrieve information from AI 代理人任務中樞 without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
q | string | — | |
tag | string | — | |
limit | number | — | |
remote_only | boolean | — |
Parameters from the server's own tool schema.
Why hub_search_mcp_servers is rated Low
Even though hub_search_mcp_servers only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs hub_search_mcp_servers safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AI 代理人任務中樞, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hub_search_mcp_servers, this is the rule to start with:
hub_search_mcp_servers is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect AI 代理人任務中樞, apply this rule, and every hub_search_mcp_servers call is checked against it from then on.
Questions about hub_search_mcp_servers
搜尋官方 MCP Registry 的 MCP 伺服器,可依關鍵字、分類、是否可遠端連線篩選。分類:資料庫、檔案與文件、瀏覽器與爬蟲、搜尋、開發工具、雲端與基礎設施、通訊與協作、財經與加密、地圖與旅遊、設計與多媒體、AI 與模型、電商與行銷、資安. It is categorised as a Read tool in the AI 代理人任務中樞 MCP Server, which means it retrieves data without modifying state.
hub_search_mcp_servers accepts 4 parameters: q, tag, limit, remote_only. The full parameter table on this page comes from the server's own tool schema.
Register the AI 代理人任務中樞 MCP server in PolicyLayer and add a rule for hub_search_mcp_servers: 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 AI 代理人任務中樞. Nothing to install.
hub_search_mcp_servers 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 hub_search_mcp_servers 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 hub_search_mcp_servers. 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.
hub_search_mcp_servers is provided by the AI 代理人任務中樞 MCP server (https://hub.penguindriver.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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