ORKL MCP Server
About
MCP server for ORKL Threat Intelligence Library
Details
- Author
- heiths
- GitHub stars
- 4
- Downloads
- 300
- Categories
- Other, Security
Jump to
- Access to ORKL Threat Intelligence Library via the official 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
ORKL MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install prerequisites (Python 3.10+ and the uv package manager), clone the repository, install dependencies with uv, and configure via environment variables (e.g., ORKL_API_BASE_URL) or a config.json file. Then register the server with Claude Desktop by adding a configuration entry to claude_desktop_config.json that points to the cloned directory and runs run_server.py using uv.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"orkl mcp server": {
"orkl_mcp_server": {
"command": "uv",
"args": [
"venv"
]
}
}
}
}
McpServers
{
"orkl_mcp_server": {
"command": "uv",
"args": [
"venv"
]
}
}
ORKL MCP Server
A MCP (Model Control Protocol) server for accessing the ORKL Threat Intelligence Library.
Table of Contents
- Features
- Getting Started
- Prerequisites
- Installation
- Configuration
- MCP Tools
- MCP Resources
- Example Prompts
- License
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

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.
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