"Resources and Information on Web Development" matching MCP servers:

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enables web searches through DuckDuckGo without an API key and extracts readable main content from web pages.

Enables lightweight web search discovery and on-demand extraction of cleaned page text from supplied URLs, returning snippets, headings, links, and saved full text for longer pages.

Enables web search and web fetch operations using Ollama's hosted APIs, allowing MCP clients to search the web and retrieve page content.

Odysseus Web MCP is a standalone Model Context Protocol (MCP) server for safe public-web search and URL fetching.

MCP server for web page fetching (converting to Markdown/text with automatic fallback between Tavily and Firecrawl) and web search via Tavily.

Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.

Enables a locally-run LLM to search the web, fetch pages as markdown, make arbitrary HTTP requests, and optionally render pages with headless Chromium.

Gives AI agents local web search and page reading with no API keys, layering a SearXNG-backed search cache with browser-based fallbacks and returning clean page text from HTML, PDF, JSON, and archived snapshots. Fetches run in Docker alongside the search engine with SSRF protection, egress filtering, and untrusted-content marking so agents can safely retrieve live web data.

Enables MCP-capable agents to perform local web research under a declared plan with session budgets, user-approved limit extensions, and guardrails for safe searching, page fetching, content extraction, and audit logging.

Enables agents to perform compact, cited web research within caller-set token caps, returning direct answers, short verbatim quotes, numbered sources, and noted gaps.

Enables agents to perform local metasearch, scholarly and code/model lookups, and fetch rendered web pages or PDFs as paginated markdown, including stealth browsing and arXiv paper overviews.

Enables MCP clients to perform web searches and fetch HTTP(S) pages as Markdown through Search and Fetch APIs.

A local MCP server for semantic search over RSS/Atom feeds, providing tools for ranked search, trending topics, digests, and feed health monitoring without requiring an API key.

A local MCP server providing web search, page extraction, and safe browser automation tools for Hermes, Claude Code, and other MCP clients.

Enables web searching via DuckDuckGo and extracting readable content from any URL using Mozilla Readability, providing web context similar to Cursor's built-in functionality.

Enables web research through multi-provider search, documentation lookup, public code search, and clean Markdown extraction from static or JavaScript-rendered pages via five read-only tools.

Serves plain-text notes that an Obsidian user has explicitly published for AI over streamable HTTP, with full-text and embedding-based search. MCP clients can read and search those notes and queue suggested edits that the user's own client applies only if the AI rules allow it.

Gives any AI agent two web capabilities: ranked search results with titles, URLs, dates and excerpts via Exa, and clean Markdown extraction of a page's main content with navigation, scripts and footers stripped. Responses are structured and schema-declared, and URL fetching is hardened against private addresses, redirects and DNS rebinding, so agents can research and cite sources safely across MCP clients.

MCP server for multi-engine web search and web page fetching, supporting parallel search, content extraction, and optional LLM-powered search summarization and deep search.

Enables MCP hosts to search 46 web platforms and keyword-free hot lists, fetch and read page bodies with two-level caching, assemble scored evidence packs with coverage and gap notes, and run per-site connectivity health checks through shared configuration and provider extensions.

Enables agents and analysts to gather public web information through seven MCP tools, including compliant search across 360/Bing/Sogou, reading pages and documents as Markdown, mapping sitemaps, scholarly lookups, and resumable link-by-link browsing with robots checks and rate limiting.

Enables web search via DuckDuckGo and web content fetching through the Model Context Protocol, allowing AI assistants to search and retrieve web page content.

Enables MCP clients that lack built-in search — such as Claude Code through Bedrock or local LLM clients — to run web queries against Amazon's operated search index via a Gateway deployed in your own AWS account, with queries never leaving AWS and citation URLs preserved. Supports IAM/SigV4, Cognito, and API key authentication, per-gateway rate limits, IP and domain restrictions, and result filtering by domain and publication date.

A layered research server that exposes three tools for searching the web with quality signals and domain diversity, fetching clean page text with automatic backend fallback, and running server-side multi-step research that returns cited answers. It handles reranking, filtering, deduplication, and degradation chains internally so callers never choose between backends or guess whether to search or fetch first.

Enables local web search through a SearXNG instance, returning up to eight result titles, URLs, and snippets, with optional fetching of previously returned pages under strict sandboxing and URL restrictions.

Enables AI agents to search DuckDuckGo and fetch web content with human-assisted CAPTCHA handling, designed for local use where humans can intervene when bot detection occurs.

Provides MCP tools to search and read social discussions from Reddit and X, and fetch pages blocked by bot protection, using a private Cloudflare Worker.

A self-hosted MCP server that reads web pages and converts them to Markdown, with built-in web search and anti-crawl fallback using Playwright.

Provides web search and page fetching capabilities via Serper.dev or DuckDuckGo, deployable on Render with SSE transport.

Enables AI-powered web searches using DuckDuckGo with automatic summarization via Google's Gemini AI. Supports both summary and detailed analysis modes for search results.

A local MCP server that gives Claude Code web search capabilities using DuckDuckGo, enabling discovery of URLs from natural language queries.

An open-source MCP server providing AI agents with neural web search via Exa and tiered web fetch (Exa, local browser, Firecrawl) as a drop-in replacement for built-in web tools, preserving provenance and guarding against SSRF.

Enables JavaScript-rendered Google searches and readable text extraction from public URLs via a real Chrome instance, along with health and CAPTCHA status monitoring.

A lean FastMCP server that wraps xAI's web_search and x_search tools for MCP hosts, enabling live web and X search with citations.

Enables MCP-compatible agents to perform web searches via the agent-web-search engine, returning ranked results with sources.

Enables MCP-capable agents to perform reliable web search and content fetching through a single server that automatically fails over across multiple providers. It handles keyed or keyless authentication automatically and returns clean Markdown or text results.

Zero-dependency MCP server that wraps OpenAI Codex's standalone search endpoint into codex_web_search and codex_web_research tools for Claude Code, enabling real-time web search and multi-step deep research independent of the underlying model.

Enables agents to search the live web and fetch URLs as clean Markdown, returning ranked search results and paginated page content through two lightweight tools.