JUHE API Marketplace
urldna avatar
MCP Server

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.

3
GitHub Stars
10/7/2025
Last Updated
MCP Server Configuration
1{
2 "name": "urlDNA",
3 "command": "uv",
4 "args": [
5 "run",
6 "python",
7 "/urldna_mcp/run.py"
8 ],
9 "env": {
10 "authorization": ""
11 }
12}
JSON12 lines

README Documentation

urlDNA MCP Server

Blog

Claude Prompt

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

  1. Clone and setup the project:
git clone <repository-url>
cd urlDNA-mcp-server
uv sync
  1. Run the MCP server locally (stdio mode):
uv run python urldna_mcp/run.py
  1. 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:

ToolDescription
new_scanSubmit a new scan for a given URL
get_scanRetrieve a scan by ID
searchSearch scans using text, domain, or filters
fast_checkLightweight 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

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature-name
  3. Install development dependencies: uv sync --dev
  4. Make your changes and ensure tests pass
  5. Format code: uv run black .
  6. Submit a pull request

Contact & Support

For support or API access, visit https://urldna.io or email urldna@urldna.io.


Quick Install

Quick Actions

Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source

Boost your projects with Wisdom Gate LLM API

Supporting GPT-5, Claude-4, DeepSeek v3, Gemini and more.

Enjoy a free trial and save 20%+ compared to official pricing.