Get detailed information about a specific MCP server.
AI agents call get_mcp_server_detail to retrieve information from ModelScope MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves metadata about MCP servers without creating, modifying, executing, or deleting any data. It is a read-only lookup operation, consistent with similar sibling tools like search_models, search_papers, and search_datasets that are all information retrieval functions.
From the tool's definition Tool name 'get_mcp_server_detail' and description 'Get detailed information about a specific MCP server' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_mcp_server_detail gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ModelScope MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_mcp_server_detail:
{
"version": "1",
"default": "deny",
"tools": {
"get_mcp_server_detail": {}
}
}get_mcp_server_detail is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get detailed information about a specific MCP server. It is categorised as a Read tool in the ModelScope MCP Server MCP Server, which means it retrieves data without modifying state.
Register the ModelScope MCP Server MCP server in PolicyLayer and add a rule for get_mcp_server_detail: 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 ModelScope MCP Server. Nothing to install.
get_mcp_server_detail 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_mcp_server_detail 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_mcp_server_detail. 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_mcp_server_detail is provided by the ModelScope MCP Server MCP server (modelscope/modelscope-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ModelScope 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.
9 ModelScope MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.