域名上下文查询：针对恶意域名查询上下文信息，获取相关样本及取证处置建议
AI agents call domain_context to retrieve information from ThreatMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves/queries threat intelligence context about malicious domains, including related samples and forensic recommendations. It is a read-only lookup operation with no side effects. Severity is medium because it accesses potentially sensitive threat intelligence data about malicious infrastructure.
From the tool's definition 域名上下文查询：针对恶意域名查询上下文信息，获取相关样本及取证处置建议 (Domain context query: query contextual information for malicious domains, obtain related samples and forensic disposal recommendations)
Documented attack patterns abuse exactly the kind of access domain_context gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ThreatMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for domain_context:
{
"version": "1",
"default": "deny",
"tools": {
"domain_context": {}
}
}domain_context is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
域名上下文查询：针对恶意域名查询上下文信息，获取相关样本及取证处置建议. It is categorised as a Read tool in the ThreatMCP MCP Server, which means it retrieves data without modifying state.
Register the Threat MCP server in PolicyLayer and add a rule for domain_context: 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 ThreatMCP. Nothing to install.
domain_context 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 domain_context 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 domain_context. 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.
domain_context is provided by the Threat MCP server (naxg/threatmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ThreatMCP, 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.
15 ThreatMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.