What is the MISP MCP Server?

The MISP MCP Server bridges the gap between the Malware Information Sharing Platform (MISP) and Large Language Models (LLMs) by providing threat intelligence capabilities through the Model Context Protocol (MCP).

How can I install and use the MISP MCP Server?

Clone the repository, create a virtual environment, install dependencies (mcp[cli] and pymisp), configure environment variables for MISP URL and API key, and then either run as a standalone server or integrate with Claude Desktop.

What are the prerequisites for using the MISP MCP Server?

You need Python 3.10 or higher, a running MISP instance with API access, and a MISP API key with appropriate permissions.

What can I do with the MISP MCP Server?

You can search for malware samples, submit new Indicators of Compromise (IoCs) directly to your MISP instance, generate threat intelligence reports, and access MISP statistics, all through an LLM interface.

MISP

Name: MISP
Author: bornpresident

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Integrates threat intelligence from MISP with Large Language Models via a Model Context Protocol (MCP) server.

Enables Large Language Models to leverage threat intelligence data from a MISP (Malware Information Sharing Platform) instance. It allows querying and submitting Indicators of Compromise (IoCs), generating threat reports, and gaining insights into malware affecting various platforms directly within the LLM context. This integration enhances the capabilities of LLMs to provide more informed and contextually relevant responses in cybersecurity-related applications.

主な機能

01Provides cross-platform threat intelligence for Windows, macOS, Linux, Android, iOS, and IoT.

02Generates comprehensive threat intelligence reports based on MISP data.

03Offers advanced search capabilities by attribute type, tag, threat actor, or TLP classification.

04Searches for macOS-related malware samples.

05Allows submitting new Indicators of Compromise directly to a MISP instance.

060 GitHub stars

ユースケース

01Enhance LLM-driven cybersecurity analysis with real-time threat intelligence.

02Automate the process of querying MISP for relevant threat data based on user prompts.

03Enable LLMs to generate more accurate and informed threat assessments and recommendations.