This project is an advanced penetration testing tool based on the original "PentestGPT" paper. It extends the core capabilities by integrating with
This project is an advanced penetration testing tool based on the original "PentestGPT" paper. It extends the core capabilities by integrating with Model Context Protocol servers (MCPs) to perform automated, LLM-driven security assessments.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| GOOGLE_API_KEY | Credential the server authenticates with. | Yes |
The original Chromium automation reference server — simple, screenshot-driven browser control.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
This repository provides an implementation of a Model Context Protocol (MCP) server for AWS S3, enabling AI models, particularly Large Language
AI video generation API with x402 USDC payment. TTS voiceover, animated text.
APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API, supporting querying and managing
A Model Context Protocol server that exposes OpenAPI schema information to Large Language Models