MCP Web Research Server

The mzxrai/mcp-webresearch server equips Claude with the ability to perform live web research directly within a conversation. Instead of relying on static knowledge bases, developers can now query Google, fetch and parse webpage content, track a research session, and even capture screenshots—all through the Model Context Protocol. This capability turns Claude into a real‑time research assistant that can browse, evaluate sources, and present up‑to‑date information without leaving the chat interface.

At its core, the server offers three primary tools. The tool sends a query to Google and returns structured results, allowing the assistant to surface relevant articles or data quickly. The tool opens a specific URL, extracts its textual content, and can optionally capture a screenshot. Finally, captures the current page view for visual reference. These tools are designed to be lightweight yet powerful, giving developers fine‑grained control over the browsing process while keeping resource usage minimal.

A standout feature is the built‑in research session tracking. Every search, visited page, extracted snippet, and screenshot is stored as part of a single session that Claude can reference later in the conversation. This persistent context ensures that the assistant remembers what has already been explored, avoids redundant queries, and can build a coherent narrative from multiple sources. The session data is exposed as an MCP resource, enabling developers to retrieve or display the entire research trail directly in the chat.

The server also ships with a ready‑made agentic-research prompt. This guided workflow encourages Claude to start broad, refine its focus based on source quality, and iteratively adjust the research path while keeping the user informed. By automatically citing URLs and prompting for clarification, it reduces the cognitive load on users who need authoritative information—such as journalists, students, or technical writers.

Integrating this MCP into an AI workflow is straightforward: add the server to Claude Desktop’s configuration, and invoke tools or the prebuilt prompt as needed. Developers can embed web research into custom agents, combine it with other MCP services (e.g., data extraction or summarization), and expose the resulting knowledge to downstream applications. The ability to capture screenshots adds a visual layer, useful for design reviews or when source credibility must be verified visually.

In summary, the mcp-webresearch server transforms Claude into a live research companion. It solves the problem of stale knowledge by providing real‑time access to the web, tracks sessions for continuity, and offers a guided prompt that maximizes source quality. For developers building AI‑powered research assistants, this MCP delivers a ready, extensible foundation to bring the latest information straight into conversational AI.