Security & Testing MCP Servers

Foxywolf

Automates API testing for various AI host environments using Postman Collections.

Aws-securityhub

Facilitates interaction with the AWS Security Hub API using a Multi-Agent Conversation Protocol (MCP) server.

HubAPI Auth

Provides a Multi-Agent Conversation Protocol server for the HubAPI authentication API.

Quack

Automates code analysis and testing for Python projects by performing linting and static type analysis within a continuous integration environment.

IntelliDiff

Perform intelligent file and folder comparisons, including advanced text normalization and duplicate detection, through an MCP server.

Python

Provides a sandbox environment for testing the `fastmcp` Python library.

System Info

Retrieves comprehensive system information and diagnostics for CPU, memory, disk, network, processes, battery, and hardware.

Transparent Proxy

Establishes a transparent proxy between OAuth 2.1 clients and external MCP servers, handling dual authentication flows.

Process Hacker

Facilitate runtime analysis and control of AI agents with a dynamic process hacking server for enhanced debugging and integration.

AI Training Data Quality

Assess AI training data quality, detect bias patterns, evaluate dataset provenance, and analyze data pipeline integrity for machine learning systems.

The Hive Doctrine

Provides an agent knowledge marketplace offering products and tools for developing secure, multi-agent AI systems with a focus on polytheistic AI safety.