sec-mcp
sec-mcp is a Python library designed for security analysis, aiding in data protection and threat detection. Users can easily automate security-related tasks, achieving efficient workflows. It particularly excels in features like log analysis and vulnerability scanning.
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sec-mcp: Security Checking Toolkit
A Python toolkit providing security checks for domains, URLs, IPs, and more. Integrate easily into any Python application, use via terminal CLI, or run as an MCP server to enrich LLM context with real-time threat insights.
Developed by Montimage, a company specializing in cybersecurity and network monitoring solutions.
MCP Server & LLM Support
sec-mcp is designed for seamless integration with Model Context Protocol (MCP) compatible clients (e.g., Claude, Windsurf, Cursor) for real-time security checks in LLM workflows.
Available MCP Tools
Tool Name | Signature / Endpoint | Description |
---|---|---|
check_blacklist |
check_blacklist(value: str) |
Check a single value (domain, URL, or IP) against the blacklist. |
check_batch |
check_batch(values: List[str]) |
Bulk check multiple domains/URLs/IPs in one call. |
get_blacklist_status |
get_blacklist_status() |
Get status of the blacklist, including entry counts and per-source breakdown. |
sample_blacklist |
sample_blacklist(count: int) |
Return a random sample of blacklist entries. |
get_source_stats |
get_source_stats() |
Retrieve detailed stats: total entries, per-source counts, last update timestamps. |
get_update_history |
get_update_history(...) |
Fetch update history records, optionally filtered by source and time range. |
flush_cache |
flush_cache() |
Clear the in-memory URL/IP cache. |
add_entry |
add_entry(url, ip, ...) |
Manually add a blacklist entry. |
remove_entry |
remove_entry(value: str) |
Remove a blacklist entry by URL or IP address. |
update_blacklists |
update_blacklists() |
Force immediate update of all blacklists. |
health_check |
health_check() |
Perform a health check of the database and scheduler. |
MCP Server Setup
To run sec-mcp as an MCP server for AI-driven clients (e.g., Claude), follow these steps:
Create a virtual environment:
python3.12 -m venv .venv
Activate the virtual environment:
source .venv/bin/activate # On Windows: .venv\Scripts\activate.bat
Install sec-mcp:
pip install sec-mcp
Verify the status:
sec-mcp status
Update the blacklist database:
sec-mcp update
Verify the database:
sec-mcp status
Configure your MCP client (e.g., Claude, Windsurf, Cursor) to point at the command:
{ "mcpServers": { "sec-mcp": { "command": "/absolute/path/to/.venv/bin/python", "args": ["-m", "sec_mcp.start_server"] } } }
Important:
- Use the absolute path to the Python executable in your virtual environment.
- For Windows, the path might look like:
C:\path\to\.venv\Scripts\python.exe
The sec-mcp tools should now be available in your MCP client for checking URLs, domains, and IPs.
API Functions
Function Name | Signature | Description |
---|---|---|
check |
check(value: str) -> CheckResult |
Check a single domain, URL, or IP against the blacklist. |
check_batch |
check_batch(values: List[str]) -> List[CheckResult] |
Batch check of multiple values. |
check_ip |
check_ip(ip: str) -> CheckResult |
Check if an IP (or network) is blacklisted. |
check_domain |
check_domain(domain: str) -> CheckResult |
Check if a domain (including parent domains) is blacklisted. |
check_url |
check_url(url: str) -> CheckResult |
Check if a URL is blacklisted. |
get_status |
get_status() -> StatusInfo |
Get current status of the blacklist service. |
update |
update() -> None |
Force an immediate update of all blacklists. |
sample |
sample(count: int = 10) -> List[str] |
Return a random sample of blacklist entries. |
Features
- Comprehensive security checks for domains, URLs, IP addresses, and more against multiple blacklist feeds
- On-demand updates from OpenPhish, PhishStats, URLhaus and custom sources
- High-performance, thread-safe SQLite storage with in-memory caching for fast lookups
- Python API via
SecMCP
class for easy integration into your applications - Intuitive Click-based CLI for interactive single or batch scans
- Built-in MCP server support for LLM/AI integrations over JSON/STDIO
Environment Variable: MCP_DB_PATH
By default, sec-mcp stores its SQLite database (mcp.db
) in a shared, cross-platform location:
- macOS:
~/Library/Application Support/sec-mcp/mcp.db
- Linux:
~/.local/share/sec-mcp/mcp.db
- Windows:
%APPDATA%\sec-mcp\mcp.db
You can override this location by setting the MCP_DB_PATH
environment variable:
export MCP_DB_PATH=/path/to/your/custom/location/mcp.db
Set this variable before running any sec-mcp commands or starting the server. The directory will be created if it does not exist.
Installation
pip install sec-mcp
Usage via CLI
Create and activate a virtual environment (recommended):
python3 -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate.bat
Install the package:
pip install sec-mcp
Verify the status:
sec-mcp status
Populate the database with security data:
sec-mcp update
Verify the database has been populated:
sec-mcp status
Check a single URL/domain/IP:
sec-mcp check https://example.com
Batch check from a file:
sec-mcp batch urls.txt
Usage via API (Python)
Create and activate a virtual environment (recommended):
python3 -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate.bat
Install in your project:
pip install sec-mcp
Import, initialize, and update the database:
from sec_mcp import SecMCP client = SecMCP() # Populate the database with security data (run once after installation) client.update()
Single check:
result = client.check("https://example.com") print(result.to_json())
Batch check:
urls = ["https://example.com", "https://test.com"] results = client.check_batch(urls) for r in results: print(r.to_json())
Usage via MCP Client
To run sec-mcp as an MCP server for AI-driven clients (e.g., Claude):
Create a virtual environment:
python3.12 -m venv .venv
Activate the virtual environment:
source .venv/bin/activate # On Windows: .venv\Scripts\activate.bat
Install sec-mcp:
pip install sec-mcp
Verify the status:
sec-mcp status
Update the blacklist database:
sec-mcp update
Verify the database:
sec-mcp status
Configure your MCP client (e.g., Claude, Windsurf, Cursor) with:
{ "mcpServers": { "sec-mcp": { "command": "/absolute/path/to/.venv/bin/python", "args": ["-m", "sec_mcp.start_server"] } } }
Note:
- Use the absolute path to the Python executable in your virtual environment.
- For Windows, the path might look like:
C:\path\to\.venv\Scripts\python.exe
The sec-mcp tools should now be available in your MCP client.
New MCP Server Tools
The following RPC endpoints are now available:
- check_batch(values: List[str]): Bulk check multiple domains/URLs/IPs in one call. Returns a list of
{ value, is_safe, explanation }
. - sample_blacklist(count: int): Return a random sample of blacklist entries for quick inspection.
- get_source_stats(): Retrieve detailed stats: total entries, per-source counts, and last update timestamps. Returns
{ total_entries, per_source, last_updates }
. - get_update_history(source?: str, start?: str, end?: str): Fetch update history records, optionally filtered by source and time range.
- flush_cache(): Clear the in-memory URL/IP cache. Returns
{ cleared: bool }
. - health_check(): Perform a health check of the database and scheduler. Returns
{ db_ok: bool, scheduler_alive: bool, last_update: timestamp }
. - add_entry(url: str, ip?: str, date?: str, score?: float, source?: str): Manually add a blacklist entry. Returns
{ success: bool }
. - remove_entry(value: str): Remove a blacklist entry by URL or IP address. Returns
{ success: bool }
.
Configuration
The client can be configured via config.json
:
blacklist_sources
: URLs for blacklist feedsupdate_time
: Daily update schedule (default: "00:00")cache_size
: In-memory cache size (default: 10000)log_level
: Logging verbosity (default: "INFO")
Development
Clone the repository and install in development mode:
git clone <repository-url>
cd sec-mcp
python -m venv .venv
source .venv/bin/activate
pip install -e .
License
MIT
About Montimage
sec-mcp is developed and maintained by Montimage, a company specializing in cybersecurity and network monitoring solutions. Montimage provides innovative security tools and services to help organizations protect their digital assets and ensure the security of their networks.
For questions or support, please contact us at contact@montimage.eu.