Z

ZAP MCP

ZAP-MCP is a bridging protocol between OWASP ZAP and AI models, which realizes AI-driven automated security testing and analysis functions through a standardized interface.
2.5 points
16

What is ZAP-MCP?

ZAP-MCP is a bridging tool that integrates OWASP ZAP with AI models, allowing AI models to directly call ZAP's scanning function to achieve automated security testing.

How to use ZAP-MCP?

By configuring the ZAP-MCP server and connecting it with an AI model, you can easily initiate a security scan and generate an analysis report.

Applicable scenarios

Suitable for enterprises and development teams that need automated security testing, especially for scenarios where frequent web application security checks are required.

Main features

AI-driven security testingUse AI models to perform automated security scans and analysis.
Real-time scan monitoringTrack the scan progress at any time and receive instant notifications.
Automatic analysis and report generationAutomatically generate detailed vulnerability reports and improvement suggestions.
Flexible integrationSupport multiple AI models to access through the MCP protocol.
WebSocket communicationEnable real-time updates and interactions to enhance the user experience.

Advantages and limitations

Advantages
Improve the efficiency of security testing
Reduce the cost of manual intervention
Support multiple AI models
Real-time feedback and interaction
Limitations
Have a certain dependence on the network environment
Need to be familiar with the basic configuration process
Some advanced functions may be limited by the API

How to use

Installation and configuration
Clone the repository and install the dependencies, then set up the MCP server as instructed.
Start the MCP server
Run the MCP server and ensure it works properly.
Configure the AI model
Enable MCP integration in the AI model and fill in the WebSocket address.

Usage examples

Case 1: Start a scanInitiate a ZAP scan for a specified target URL.
Case 2: Get the vulnerability listExtract all vulnerability information from a completed scan.

Frequently Asked Questions

How to confirm whether the MCP server has been successfully started?
What should I do if I encounter a connection failure?
What types of AI models are supported?

Related resources

Official documentation
The project homepage and detailed usage guide.
OWASP ZAP official website
Learn the basic knowledge of OWASP ZAP.
Claude AI official website
Explore the functions and services of Claude AI.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
S
Search1api
The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.
TypeScript
343
4 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points
M
MCP Alchemy
Certified
MCP Alchemy is a tool that connects Claude Desktop to multiple databases, supporting SQL queries, database structure analysis, and data report generation.
Python
324
4.2 points
P
Postgresql MCP
A PostgreSQL database MCP service based on the FastMCP library, providing CRUD operations, schema inspection, and custom SQL query functions for specified tables.
Python
112
4 points
M
MCP Scan
MCP-Scan is a security scanning tool for MCP servers, used to detect common security vulnerabilities such as prompt injection, tool poisoning, and cross-domain escalation.
Python
616
5 points
A
Agentic Radar
Agentic Radar is a security scanning tool for analyzing and assessing agentic systems, helping developers, researchers, and security experts understand the workflows of agentic systems and identify potential vulnerabilities.
Python
556
5 points
C
Cloudflare
Changesets is a build tool for managing versions and releases in multi - package or single - package repositories.
TypeScript
1.5K
5 points
E
Edgeone Pages MCP Server
EdgeOne Pages MCP is a service that quickly deploys HTML content to EdgeOne Pages via the MCP protocol and obtains a public URL
TypeScript
253
4.8 points
Featured MCP Services
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
141
4.5 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
86
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
1.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 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
6.7K
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#
566
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
754
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase