"GraphQL" matching MCP servers:

Enables AI agents to control a local Chromium browser via CDP for page snapshots, screenshots, human-like interactions, autonomous crawling, API/GraphQL reconnaissance, authenticated differential testing, and Burp-like intercept, repeater, and intruder workflows with scope enforcement and audit logging.

Demonstrates using Playwright with the Model Context Protocol (MCP) to enable large language models to automate browser interactions, with an example of cursor-based pagination against the GitHub GraphQL API.

Enables AI agents to search restaurants, browse menus, manage carts, and place orders on DoorDash programmatically. It utilizes a headless browser to interact with DoorDash's GraphQL API and bypass anti-bot protections for the full delivery lifecycle.