Scrappey MCP Server Overview

The Scrappey MCP Server acts as a seamless bridge between AI assistants and Scrappey.com’s powerful web‑automation platform. By exposing a set of MCP tools, it allows models to create persistent browser sessions, send HTTP requests, and perform complex browser interactions—all while automatically navigating anti‑bot defenses. This capability is essential for developers who need reliable, programmable access to dynamic web content without building their own headless‑browser infrastructure.

At its core, the server offers a session lifecycle: a client can request a new session that retains cookies and other stateful information, use that session to issue GET/POST/PUT/etc. requests, or trigger browser actions such as clicks, typing, scrolling, and waiting periods. Once the workflow is complete, sessions can be destroyed cleanly to free resources. The ability to keep a session alive across multiple calls is especially valuable for sites that require authentication, multi‑step forms, or progressive disclosure of data.

Key features include:

• Persistent sessions that maintain login state and cookies, reducing the need to re‑authenticate on every request.
• Automatic anti‑bot protection handling, letting the server negotiate captchas or other challenges on behalf of the AI.
• Custom proxy support, enabling geographically targeted requests or bypassing IP restrictions.
• A rich set of browser actions (click, hover, type, scroll, wait) that mimic human interaction patterns.
• Full support for HTTP verbs (GET, POST, PUT, DELETE, PATCH) with custom headers and payloads.

Typical use cases span from data extraction (scraping product listings, monitoring price changes) to automation testing (filling out forms, verifying UI flows), and even content generation pipelines where an AI must fetch dynamic content before crafting a response. In a workflow, a model might create a session, navigate to a login page, perform credential entry via browser actions, then issue API calls or scrape the resulting dashboard—all orchestrated through MCP tool invocations.

The server’s integration is straightforward: developers expose the MCP endpoints to their AI workflow, and the model calls tools like , , or with JSON payloads. Because the MCP server handles state and anti‑bot logic, developers can focus on higher‑level application logic rather than low‑level browser management. This abstraction not only speeds development but also improves reliability when interacting with complex, protection‑heavy websites.