urlDNA MCP Server
Enables security-focused LLM agents like GPT-4.1 and Claude 3 to interact with the urlDNA threat intelligence platform, providing tools for URL scanning, threat detection, and malicious content analysis.
README Documentation
urlDNA MCP Server
The urlDNA MCP Server
enables native tool use for security-focused LLM agents like OpenAI GPT-4.1 and Claude 3 Desktop, providing a direct interface to interact with the urlDNA threat intelligence platform via API.
Installation & Setup
This project uses uv for fast Python package management.
Prerequisites
Install uv if you haven't already:
# On macOS and Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# On Windows
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
# Or with pip
pip install uv
Quick Start
- Clone and setup the project:
git clone <repository-url>
cd urlDNA-mcp-server
uv sync
- Run the MCP server locally (stdio mode):
uv run python urldna_mcp/run.py
- Run the MCP server in SSE mode:
uv run python urldna_mcp/server.py
Development
To work on the project:
# Install development dependencies
uv sync --dev
# Run tests (when available)
uv run pytest
# Format code
uv run black .
# Type checking
uv run mypy .
# Lint code
uv run flake8 .
Hosted MCP Server
The urlDNA MCP
server is already hosted and available at:
https://mcp.urldna.io/sse
This server is accessible over Server-Sent Events (SSE) protocol, which supports streaming interactions between LLMs and the backend tools.
You can use it directly with any platform or LLM supporting the mcp
specification (e.g., Claude Desktop, OpenAI GPT-4.1).
Supported Actions
The following tools are exposed by the MCP interface:
Tool | Description |
---|---|
new_scan | Submit a new scan for a given URL |
get_scan | Retrieve a scan by ID |
search | Search scans using text, domain, or filters |
fast_check | Lightweight phishing detection via content + redirect analysis |
Integration with Claude Desktop (Anthropic MCP)
To integrate the urlDNA MCP server
in Claude Desktop, update your Claude configuration (typically claude.config.json
or equivalent) like so:
{
"mcpServers": {
"urlDNA": {
"command": "uv",
"args": [
"run",
"python",
"<YOUR_PATH>/urldna_mcp/run.py"
],
"env": {
"authorization": "<urlDNA_API_KEY>"
}
}
}
}
Replace
<YOUR_PATH>
with the actual path to the project directory, and<urlDNA_API_KEY>
with your API key from https://urldna.io.
Once configured, you can prompt Claude with natural language requests like:
"Search in urlDNA for malicious scans with title like paypal"
Claude will automatically call the correct tool and return results from the urlDNA
platform.
Using the MCP Server with OpenAI GPT-4.1 (Python SDK)
from openai import OpenAI
# Initialize OpenAI client (assumes API key is set via env var or config)
client = OpenAI()
response = client.responses.create(
model="gpt-4.1",
input=[
{
"role": "system",
"content": [{"type": "input_text", "text": "You are a cybersecurity analyst using urlDNA."}]
},
{
"role": "user",
"content": [{"type": "input_text", "text": "Search in urlDNA malicious scan with title like paypal"}]
}
],
text={"format": {"type": "text"}},
reasoning={},
tools=[
{
"type": "mcp",
"server_label": "urlDNA",
"server_url": "https://mcp.urldna.io/sse",
"headers": {
"Authorization": "Bearer <URLDNA_API_KEY>"
},
"allowed_tools": ["new_scan", "get_scan", "search", "fast_check"],
"require_approval": "never"
}
],
temperature=0.7,
top_p=1,
max_output_tokens=2048,
store=True
)
print(response.output)
Container Deployment
Build and run with Docker:
# Build the container
docker build -t urldna-mcp-server .
# Run the server
docker run -p 8080:8080 -e authorization=<URLDNA_API_KEY> urldna-mcp-server
Contributing
- Fork the repository
- Create a feature branch:
git checkout -b feature-name
- Install development dependencies:
uv sync --dev
- Make your changes and ensure tests pass
- Format code:
uv run black .
- Submit a pull request
Contact & Support
For support or API access, visit https://urldna.io or email urldna@urldna.io.