Get chronological timeline of stored intelligence data. Returns recent entries sorted by time. Filter by domain or category to focus on specific intelligence areas.
AI agents call intel_timeline to retrieve information from Threat Intelligence MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a query/retrieval operation that reads and retrieves historical threat intelligence records from storage without side effects. The tool neither modifies data, executes operations, deletes information, nor commits financial obligations. The filtering capability is a standard read-operation refinement.
From the tool's definition Tool retrieves chronological timeline of stored intelligence data and returns recent entries sorted by time. Supports filtering by domain or category. No creation, modification, deletion, or execution capability mentioned.
Documented attack patterns abuse exactly the kind of access intel_timeline gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Threat Intelligence MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for intel_timeline:
{
"version": "1",
"default": "deny",
"tools": {
"intel_timeline": {}
}
}intel_timeline 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.
Get chronological timeline of stored intelligence data. Returns recent entries sorted by time. Filter by domain or category to focus on specific intelligence areas. It is categorised as a Read tool in the Threat Intelligence MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Threat Intelligence MCP Server MCP server in PolicyLayer and add a rule for intel_timeline: 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 Threat Intelligence MCP Server. Nothing to install.
intel_timeline 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 intel_timeline 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 intel_timeline. 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.
intel_timeline is provided by the Threat Intelligence MCP Server MCP server (marc-shade/world-intel-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Threat Intelligence 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.
113 Threat Intelligence MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.