MCP Web Research Server

MCP Web Research Server

Bring real-time web research and Google search capabilities into Claude using MCP.

View on GitHub
284
Stars
73
Forks
284
Watchers
7
Issues
MCP Web Research Server acts as a Model Context Protocol (MCP) server, seamlessly integrating web research functionalities with Claude Desktop. It enables Google search, webpage content extraction, research session tracking, and screenshot capture, all accessible directly from Claude. The server supports interactive and guided research sessions, exposing session data and screenshots as MCP resources for enhanced context-aware AI interactions.

Key Features

Google search integration
Webpage content extraction
Research session tracking
Screenshot capture of webpages
Session resource exposure via MCP
Guided research prompt for deeper investigation
Automatic management of visited pages and search queries
Integration with Claude Desktop through configuration
Support for prompt customization
Works on macOS environment

Use Cases

Conducting real-time web research in Claude
Extracting and summarizing online content for AI interaction
Tracking detailed web research sessions including queries, visited pages, and results
Capturing and sharing webpage screenshots for context
Supporting journalists or students in evidence-based inquiry
Enhancing AI assistance with up-to-date information from trusted sources
Guiding AI through interactive, multi-turn research sessions
Providing source-cited responses for professional or academic use
Researching news, facts, and general knowledge with high-quality references
Facilitating seamless integration between web research tools and AI chat workflows

README

MCP Web Research Server

A Model Context Protocol (MCP) server for web research.

Bring real-time info into Claude and easily research any topic.

Features

  • Google search integration
  • Webpage content extraction
  • Research session tracking (list of visited pages, search queries, etc.)
  • Screenshot capture

Prerequisites

Installation

First, ensure you've downloaded and installed the Claude Desktop app and you have npm installed.

Next, add this entry to your claude_desktop_config.json (on Mac, found at ~/Library/Application\ Support/Claude/claude_desktop_config.json):

json
{
  "mcpServers": {
    "webresearch": {
      "command": "npx",
      "args": ["-y", "@mzxrai/mcp-webresearch@latest"]
    }
  }
}

This config allows Claude Desktop to automatically start the web research MCP server when needed.

Usage

Simply start a chat with Claude and send a prompt that would benefit from web research. If you'd like a prebuilt prompt customized for deeper web research, you can use the agentic-research prompt that we provide through this package. Access that prompt in Claude Desktop by clicking the Paperclip icon in the chat input and then selecting Choose an integration → webresearch → agentic-research.

Tools

  1. search_google

    • Performs Google searches and extracts results
    • Arguments: { query: string }

  2. visit_page

    • Visits a webpage and extracts its content
    • Arguments: { url: string, takeScreenshot?: boolean }

  3. take_screenshot

    • Takes a screenshot of the current page
    • No arguments required

Prompts

agentic-research

A guided research prompt that helps Claude conduct thorough web research. The prompt instructs Claude to:

  • Start with broad searches to understand the topic landscape
  • Prioritize high-quality, authoritative sources
  • Iteratively refine the research direction based on findings
  • Keep you informed and let you guide the research interactively
  • Always cite sources with URLs

Resources

We expose two things as MCP resources: (1) captured webpage screenshots, and (2) the research session.

Screenshots

When you take a screenshot, it's saved as an MCP resource. You can access captured screenshots in Claude Desktop via the Paperclip icon.

Research Session

The server maintains a research session that includes:

  • Search queries
  • Visited pages
  • Extracted content
  • Screenshots
  • Timestamps

Suggestions

For the best results, if you choose not to use the agentic-research prompt when doing your research, it may be helpful to suggest high-quality sources for Claude to use when researching general topics. For example, you could prompt news today from reuters or AP instead of news today.

Problems

This is very much pre-alpha code. And it is also AIGC, so expect bugs.

If you run into issues, it may be helpful to check Claude Desktop's MCP logs:

bash
tail -n 20 -f ~/Library/Logs/Claude/mcp*.log

Development

bash
# Install dependencies
pnpm install

# Build the project
pnpm build

# Watch for changes
pnpm watch

# Run in development mode
pnpm dev

Requirements

  • Node.js >= 18
  • Playwright (automatically installed as a dependency)

Verified Platforms

  • macOS
  • Linux

License

MIT

Author

mzxrai

Star History

Star History Chart

Repository Owner

mzxrai
mzxrai

User

Repository Details

Language JavaScript
Default Branch main
Size 165 KB
Contributors 1
License MIT License
MCP Verified Nov 12, 2025

Programming Languages

JavaScript
100%

Tags

claude-integration content extraction

Topics

anthropic anthropic-claude mcp model-context-protocol web-research

Join Our Newsletter

Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.

We respect your privacy. Unsubscribe at any time.

Related MCPs

Discover similar Model Context Protocol servers

  • mcp-server-webcrawl

    mcp-server-webcrawl

    Advanced search and retrieval for web crawler data via MCP.

    mcp-server-webcrawl provides an AI-oriented server that enables advanced filtering, analysis, and search over data from various web crawlers. Designed for seamless integration with large language models, it supports boolean search, filtering by resource types and HTTP status, and is compatible with popular crawling formats. It facilitates AI clients, such as Claude Desktop, with prompt routines and customizable workflows, making it easy to manage, query, and analyze archived web content. The tool supports integration with multiple crawler outputs and offers templates for automated routines.

    • ⭐ 32
    • MCP
    • pragmar/mcp-server-webcrawl
  • Scrapeless MCP Server

    Scrapeless MCP Server

    A real-time web integration layer for LLMs and AI agents built on the open MCP standard.

    Scrapeless MCP Server is a powerful integration layer enabling large language models, AI agents, and applications to interact with the web in real time. Built on the open Model Context Protocol, it facilitates seamless connections between models like ChatGPT, Claude, and tools such as Cursor to external web capabilities, including Google services, browser automation, and advanced data extraction. The system supports multiple transport modes and is designed to provide dynamic, real-world context to AI workflows. Robust scraping, dynamic content handling, and flexible export formats are core parts of the feature set.

    • ⭐ 57
    • MCP
    • scrapeless-ai/scrapeless-mcp-server
  • MCP Server for Deep Research

    MCP Server for Deep Research

    Transform research questions into comprehensive, well-cited reports using an advanced research assistant.

    MCP Server for Deep Research provides an end-to-end workflow for conducting in-depth research on complex topics. It elaborates on research questions, generates subquestions, integrates web search, analyzes and synthesizes retrieved content, and generates structured, well-cited research reports. The tool integrates with Claude Desktop and leverages prompt templates tailored for comprehensive research tasks.

    • ⭐ 187
    • MCP
    • reading-plus-ai/mcp-server-deep-research
  • AgentQL MCP Server

    AgentQL MCP Server

    MCP-compliant server for structured web data extraction using AgentQL.

    AgentQL MCP Server acts as a Model Context Protocol (MCP) server that leverages AgentQL's data extraction capabilities to fetch structured information from web pages. It allows integration with applications supporting MCP, such as Claude Desktop, VS Code, and Cursor, by providing an accessible interface for extracting structured data based on user-defined prompts. With configurable API key support and streamlined installation, it simplifies the process of connecting web data extraction workflows to AI tools.

    • ⭐ 120
    • MCP
    • tinyfish-io/agentql-mcp
  • MCP Manager for Claude Desktop

    MCP Manager for Claude Desktop

    A desktop app to manage Model Context Protocol (MCP) servers for Claude Desktop on MacOS.

    MCP Manager for Claude Desktop provides a user-friendly interface to manage Model Context Protocol (MCP) servers, enabling Claude to access private data, APIs, and local or remote services securely from a MacOS desktop. It facilitates rapid configuration and integration with a wide variety of MCP servers, including productivity tools, databases, and web APIs. The app runs locally to ensure data privacy and streamlines connecting Claude to new sources through simple environment and server settings management.

    • ⭐ 270
    • MCP
    • zueai/mcp-manager
  • mcp-local-rag

    mcp-local-rag

    Local RAG server for web search and context injection using Model Context Protocol.

    mcp-local-rag is a local server implementing the Model Context Protocol (MCP) to provide retrieval-augmented generation (RAG) capabilities. It performs live web search, extracts relevant context using Google's MediaPipe Text Embedder, and supplies the information to large language models (LLMs) for enhanced, up-to-date responses. The tool is designed for easy local deployment, requiring no external APIs, and is compatible with multiple MCP clients. Security audits are available, and integration is demonstrated across several LLM platforms.

    • ⭐ 89
    • MCP
    • nkapila6/mcp-local-rag
    • View all Alternatives

    Didn't find tool you were looking for?

    Be as detailed as possible for better results