Web Scout MCP Server

Overview

The Web Scout MCP Server bridges AI assistants with real‑world web data by providing a privacy‑first search and content extraction pipeline built on DuckDuckGo. It solves the common pain point of feeding up‑to‑date, structured information into conversational agents without exposing user queries to commercial search APIs or risking data leaks. By exposing two focused tools— and —developers can embed live web research directly into Claude or other MCP‑compatible assistants, enabling richer answers that reflect the current state of knowledge on the internet.

The server’s value lies in its turnkey, low‑overhead integration. It runs as a standalone Node.js process that communicates over the standard MCP protocol, meaning it can be added to any client simply by specifying a command in the client’s configuration. Once connected, an assistant can invoke a search query or request content extraction with a single JSON payload and receive a clean, machine‑readable response. The design deliberately avoids external API keys or paid services, reducing operational complexity and cost for developers.

Key capabilities include:

• Privacy‑focused search: DuckDuckGo’s no‑tracking engine returns a concise list of results, preserving user confidentiality.
• Content extraction: The extractor strips away scripts, styles, and navigation to deliver readable text suitable for summarization or analysis.
• Parallel URL handling: Multiple URLs can be processed concurrently, improving throughput for batch requests.
• Memory and rate‑limit safeguards: Intelligent throttling and memory optimization prevent crashes during large or frequent queries.
• Robust error handling: Clear status messages and retry logic ensure reliable operation even when network hiccups occur.

Typical use cases span from knowledge‑base construction—where an assistant crawls and summarizes recent articles—to real‑time customer support, where agents pull the latest product documentation or policy updates. In research workflows, developers can script a series of searches and content pulls to feed into downstream NLP pipelines or data lakes. Because the server exposes its tools via MCP, any client that understands the protocol can leverage these features without custom SDKs or wrappers.

Web Scout’s standout advantage is its blend of simplicity and power: a single, open‑source package that removes the need for paid search APIs, respects privacy, and offers scalable extraction—all while integrating seamlessly into existing AI toolchains.