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ORKL MCP Server

MCP Server

Secure threat intelligence via ORKL API

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Updated 15 days ago

About

A Model Context Protocol server that retrieves and analyzes threat reports, actors, and sources from the ORKL API, enabling seamless integration with MCP-compatible tools.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The ORKL MCP Server is a specialized Model Context Protocol (MCP) endpoint that bridges AI assistants with the ORKL threat‑intelligence platform. By exposing a curated set of tools, it allows developers to pull the latest threat reports, actor profiles, and source metadata directly into conversational agents. This capability is essential for security teams that rely on real‑time intelligence to inform incident response, threat hunting, and policy enforcement.

At its core, the server provides a straightforward interface for querying three main data domains: threat reports, threat actors, and sources. Each domain is represented by a pair of tools—one for listing available items (e.g., , , ) and another for retrieving detailed information about a specific entry (e.g., , , ). These tools translate high‑level requests from an AI assistant into ORKL API calls, returning structured JSON that can be seamlessly consumed by downstream workflows.

For developers building AI‑augmented security solutions, this server removes the need to manage API keys, pagination, or data normalization manually. Instead, an assistant can ask for “the most recent threat reports about ransomware” or “details on actor ID 1234,” and the MCP server will handle authentication, request construction, and response parsing. The result is a rapid prototype cycle: security analysts can embed up‑to‑date intelligence into chatbots, incident response playbooks, or automated ticketing systems with minimal code.

Typical use cases include:

  • Incident response automation: A chatbot can pull the latest report on a newly discovered vulnerability and generate a risk assessment.
  • Threat hunting: Analysts can query actor profiles to identify patterns or shared infrastructure across multiple incidents.
  • Compliance reporting: Automated generation of source‑verified threat summaries for audit trails.

Because the server is MCP‑compatible, it integrates effortlessly into any existing Claude or other LLM workflows that support the protocol. The lightweight tool set focuses on essential data retrieval, ensuring low latency and high reliability—key attributes for real‑time security operations. In short, the ORKL MCP Server turns raw threat intelligence into actionable conversational content, enabling developers to build smarter, context‑aware security assistants without wrestling with the underlying API complexities.