ORKL MCP Server

ORKL MCP Server

MCP server for ORKL Threat Intelligence Library

heiths

Research & Data
Visit Server

README

ORKL MCP Server

A MCP (Model Control Protocol) server for accessing the ORKL Threat Intelligence Library.

Table of Contents

Features

  • Access to ORKL Threat Intelligence Library data via the ORKL API
  • Efficient caching to minimize API calls
  • Rate limiting to respect ORKL API restrictions
  • Standardized MCP Tools and Resources for LLM interaction
  • Built-in support for Claude Desktop integration

Screenshot

<img src="docs/img/claude_desktop_screenshot.png" width="500" >

Getting Started

Prerequisites

  • Python 3.10 or later
  • uv package manager (recommended)

Installation

  1. Clone the repository:

    git clone https://github.com/heiths/orkl_mcp_server.git
    cd orkl_mcp_server
    
  2. Install dependencies using uv (recommended):

    uv venv
    uv pip install -r requirements.txt
    
  3. Configure the server (see Configuration section below)

Register with Claude Desktop

Add the following config to your claude_desktop_config.json:

{
  "ORKL Threat Intelligence": {
    "command": "uv",
    "args": [
      "--directory",
      "/path/to/orkl_mcp_server",  <-- Replace with the path to the cloned repository
      "run",
      "python",
      "run_server.py"
    ],
    "env": {
      "ORKL_API_BASE_URL": "https://orkl.eu/api/v1",
      "ORKL_REQUEST_TIMEOUT": "30",
      "ORKL_CACHE_TTL": "300",
      "ORKL_USE_CACHE": "1",
      "ORKL_RATE_LIMIT_REQUESTS": "90",
      "ORKL_RATE_LIMIT_PERIOD": "30"
    }
  }
}

MCP Tools

The server provides the following MCP Tools:

  • fetch_latest_threat_reports: Get recent threat intelligence reports
  • fetch_threat_report_details: Get details about a specific report
  • fetch_threat_report_by_hash: Retrieve a report by SHA1 hash
  • search_threat_reports: Search for reports matching criteria
  • get_library_info: Get information about the ORKL library
  • get_library_version: Get version information
  • fetch_threat_actors: Get a list of all threat actors
  • fetch_threat_actor_details: Get detailed information about a threat actor
  • fetch_sources: Get a list of available sources
  • fetch_source_details: Get detailed information about a source
  • clear_cache: Clear the local cache for fresh data

MCP Resources

The server provides these MCP Resources:

  • threat_reports://{report_id}: Direct access to specific reports
  • threat_actors://{actor_id}: Direct access to threat actor information
  • sources://{source_id}: Direct access to source information

Example Prompts

Malware Investigation

I found a suspicious file with SHA1 hash '5f2b7f47b2c9da342583c3a7e3887b4babad0fa9'. Can you check if this hash is associated with any known threats in the ORKL database and provide details about its capabilities and attribution?

Threat Landscape Overview

Can you provide an overview of the current threat landscape for financial institutions? Use the ORKL API to search for relevant threat reports from the past month and identify emerging trends or notable threat actors.

Configuration

Configuration can be provided through:

  1. Environment variables
  2. A JSON configuration file (config.json in the current directory)

Environment Variables

Variable Description Default
ORKL_API_BASE_URL API base URL https://orkl.eu/api/v1
ORKL_REQUEST_TIMEOUT Request timeout in seconds 30
ORKL_CACHE_TTL Cache time-to-live in seconds 300
ORKL_USE_CACHE Enable caching (1/0) 1
ORKL_RATE_LIMIT_REQUESTS Maximum requests per period 90
ORKL_RATE_LIMIT_PERIOD Rate limit period in seconds 30
ORKL_CONFIG_FILE Path to configuration file config.json

License

This project is licensed under the MIT License - see the LICENSE file for details.

Recommended Servers

Crypto Price & Market Analysis MCP Server

Crypto Price & Market Analysis MCP Server

A Model Context Protocol (MCP) server that provides comprehensive cryptocurrency analysis using the CoinCap API. This server offers real-time price data, market analysis, and historical trends through an easy-to-use interface.

Featured
TypeScript
MCP PubMed Search

MCP PubMed Search

Server to search PubMed (PubMed is a free, online database that allows users to search for biomedical and life sciences literature). I have created on a day MCP came out but was on vacation, I saw someone post similar server in your DB, but figured to post mine.

Featured
Python
dbt Semantic Layer MCP Server

dbt Semantic Layer MCP Server

A server that enables querying the dbt Semantic Layer through natural language conversations with Claude Desktop and other AI assistants, allowing users to discover metrics, create queries, analyze data, and visualize results.

Featured
TypeScript
mixpanel

mixpanel

Connect to your Mixpanel data. Query events, retention, and funnel data from Mixpanel analytics.

Featured
TypeScript
Sequential Thinking MCP Server

Sequential Thinking MCP Server

This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.

Featured
Python
Nefino MCP Server

Nefino MCP Server

Provides large language models with access to news and information about renewable energy projects in Germany, allowing filtering by location, topic (solar, wind, hydrogen), and date range.

Official
Python
Vectorize

Vectorize

Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.

Official
JavaScript
Mathematica Documentation MCP server

Mathematica Documentation MCP server

A server that provides access to Mathematica documentation through FastMCP, enabling users to retrieve function documentation and list package symbols from Wolfram Mathematica.

Local
Python
kb-mcp-server

kb-mcp-server

An MCP server aimed to be portable, local, easy and convenient to support semantic/graph based retrieval of txtai "all in one" embeddings database. Any txtai embeddings db in tar.gz form can be loaded

Local
Python
Research MCP Server

Research MCP Server

The server functions as an MCP server to interact with Notion for retrieving and creating survey data, integrating with the Claude Desktop Client for conducting and reviewing surveys.

Local
Python