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Web MCP Server

by zgagnon

Web MCP Server provides web search and content retrieval capabilities for AI assistants. It offers tools for web searching and extracting content from URLs.

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Last updated: N/A

Web MCP Server

A Model Context Protocol (MCP) server that provides web search and content retrieval capabilities for AI assistants.

Features

The server offers two primary tools:

  • search_duckduckgo: Performs web searches using DuckDuckGo and returns URLs of the search results
  • read_url: Fetches and processes content from URLs, removing HTML markup for better readability

Setup

# Install dependencies
npm install

# Development (with auto-reload)
npm run dev

# Production build
npm run build
npm start

Running locally

use

npx https://zgagnon.com/webmcp

or

nix run github:zgagnon.com/webmcp

API

search_duckduckgo

Performs a web search using DuckDuckGo and returns only the URLs of the search results.

Input:

  • query (string, required): The search query to be executed
  • limit (number, optional): Maximum number of results to return (default: 10)

Output:

  • A list of URLs matching the search query

read_url

Fetches and returns the text content of a specified URL, with HTML markup removed. Uses Mozilla's Readability to extract meaningful content.

Input:

  • url (string, required): The URL to fetch content from
  • useReadabilityMode (boolean, optional): Whether to use Mozilla's Readability to extract the main content (default: true)
  • maxLength (number, optional): Maximum length of returned content in characters (default: 10000)

Output:

  • The plain text content from the URL, potentially truncated to fit within context windows

Error Handling

The server will return an error if:

  • Invalid arguments are provided to any tool
  • URL fetching fails
  • Search execution fails

Implementation Details

The server uses:

  • JSDOM and Mozilla's Readability for HTML processing and content extraction
  • Node-fetch for HTTP requests
  • Zod for schema validation