AIBase
EN
Explore
Abusech MCP
A

Abusech MCP

abusech-mcp is an MCP server that retrieves threat intelligence data about malware, URLs, IPs, and domains from multiple abuse.ch platforms through a unified API.
SecurityDeveloper tools#Threat Intelligence#Security Analysis#Malicious Detection.Python
2 points
8.4K
Open Site

Overview

Tools List

Content Details

Alternatives

What is abusech-mcp?

abusech-mcp is a threat intelligence query server that integrates multiple threat databases (MalwareBazaar, URLhaus, ThreatFox) under the abuse.ch platform, providing a unified API for security analysts and developers to query threat intelligence information about file hashes, URLs, IP addresses, and domains.

How to use abusech-mcp?

You can query threat intelligence through simple API calls. After setting the API key, you can use the provided utility functions to query threat reports for specific IPs, domains, URLs, or file hashes. The system will automatically aggregate relevant information from multiple abuse.ch platforms.

Applicable Scenarios

It is suitable for scenarios such as Security Operations Center (SOC) analysis, malware analysis, network security monitoring, incident response, and threat intelligence collection, helping security teams quickly identify and respond to potential threats.

Main Features

Unified Threat Intelligence API
Provides a unified API interface to query threat data from multiple platforms such as MalwareBazaar, URLhaus, and ThreatFox simultaneously.
Multi-Platform Data Aggregation
Integrates data from three major threat intelligence platforms under abuse.ch, providing a comprehensive threat analysis view.
Data Validation Assurance
Uses Pydantic for data validation and serialization to ensure the accuracy and consistency of the returned data.
Based on the fastmcp Framework
Built using the fastmcp framework, providing a high-performance and stable service experience.
Advantages
The unified API interface simplifies the complexity of multi-platform queries.
Get the latest threat intelligence data in real-time.
Supports multiple threat indicator types (file hashes, URLs, IPs, domains).
Open source and easy to integrate into existing security toolchains.
Limitations
Requires an abuse.ch API key to use all features.
Depends on the availability and data update frequency of the abuse.ch platform.
Mainly focuses on abuse.ch platform data and does not include other threat intelligence sources.

How to Use

Get an API Key
Visit the abuse.ch website to register and obtain an API key.
Start the MCP Server
Run the Python script to start the threat intelligence server.
Query Threat Intelligence
Use the provided utility functions to query specific threat indicators.

Usage Examples

Detect a Suspicious IP Address
A security analyst discovers a suspicious IP address in network logs and uses abusech-mcp to quickly check if the IP is on the known threat list.
Analyze a Malware Sample
A malware analyst obtains a suspicious file hash and needs to confirm if the file is a known malware.
Verify URL Security
A user receives a suspicious link and needs to quickly verify if the URL is marked as malicious.

Frequently Asked Questions

Do I need to pay to use abusech-mcp?
What types of file hash queries are supported?
What is the data update frequency?
How to solve the API limit problem?

Related Resources

abuse.ch Official Website
The main website of the abuse.ch threat intelligence platform.
MalwareBazaar Platform
A platform for sharing and analyzing malware samples.
URLhaus Platform
A platform for sharing and detecting malicious URLs.
ThreatFox Platform
A platform for sharing threat indicators (IOCs).
fastmcp Framework Documentation
The official documentation of the MCP server development framework.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.2K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.9K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
16.7K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
8.5K
4 points
P
Paperbanana
Python
9.7K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.4K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
8.7K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
10.9K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
29.5K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
83.0K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.6K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.0K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.3K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
73.1K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.2K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
58.7K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase