"Cybersecurity penetration testing frameworks" matching MCP servers:

A read-only MCP server for bounded table discovery, deterministic profiling, and maintained-library statistical testing (Welch's t-test and two-proportion z-test) using SQLite, pandas, SciPy, and statsmodels.

Enables interaction with Databricks workspaces using On-Behalf-Of authentication to test connectivity, retrieve user information, and perform operations on behalf of authenticated users.

A server providing access to news articles from various categories including tech, data science, cybersecurity, and more, allowing retrieval and summarization of latest content.

Connects AI assistants and agentic frameworks to the Graphor API, enabling graph-based operations through natural language.

Enables querying and managing Apache Druid datasources through natural language, including SQL queries, datasource exploration, and cluster connectivity testing.

Provides structured access to DevVault's local Postgres database, allowing schema inspection, read-only queries, guarded writes, and dummy data seeding for testing.

A unified MCP server for multi-stand infrastructure testing, enabling REST API calls, PostgreSQL queries, and OpenSearch searches through a single config file.

Postgres Pro is an open source Model Context Protocol (MCP) server built to support you and your AI agents throughout the entire development process—from initial coding, through testing and deployment, and to production tuning and maintenance.

Enables safe database migration workflows by detecting frameworks, reviewing migration risk and drift, generating migration files with explicit approval, and providing rollback guidance—without ever applying migrations or executing rollbacks.

Enables connecting to local or remote MS SQL Server instances and provides tools for testing connections, listing databases and tables, describing schemas, and executing T-SQL queries.

A tool service that enables AI agents to interact with MySQL databases through natural language, supporting SQL queries, table structure retrieval, and connection testing.

MCP server for Huawei Cloud GaussDB database, offering 24 tools for connection testing, queries, transactions, metadata, diagnostics, and user management, plus schema resources.

Enables AI clients to drive a UI-testing toolbox with 35 tools, including a headless Playwright runner, live Chromium browser with screenshots, test management, and read-only database queries, all through the Model Context Protocol.

Generates realistic mock data using Faker.js for database seeding, API testing, and development environments. Supports person/company data, custom patterns, multi-locale generation, and structured datasets with referential integrity.

A starter template for building MCP servers with SQLite database integration. Provides a foundation with SQL query tools, database seeding capabilities, and a development client for testing.

Enables AI agents to query governed data warehouses through plain language, returning grounded answers with SQL, confidence grades, and signed receipts while enforcing access, testing, and audit controls.

QueryPilot enables AI agents to safely generate, validate, repair, and execute SQL against fixture databases, with eval-driven regression testing to ensure reliability.

Read-only MCP server for retrieving Muninn's memory via a single recall tool, with parity testing against live Python outputs.

MCP server for end-to-end API testing with PostgreSQL integration, HTTP requests, Go build automation, and debugging support.

Enables AI assistants to interact with InterSystems IRIS databases through SQL queries, document management, ObjectScript execution, debugging, and unit testing via the Atelier REST API.