"A local vector-based search engine for personal documents" matching MCP servers:

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Local-first realtime web research MCP for LM Studio with keyless SearXNG, clickable citations, adaptive deep research, provider health, and one-click Windows startup.

Enables MCP clients to run SearXNG-backed public web searches and Crawl4AI page extraction for approved domains, with local approvals, deny rules, audit history, and optional OpenAI Secure MCP Tunnel connectivity.

Self-hosted web search and page fetch service using SearXNG metasearch and Scrapling browser rendering, exposing MCP tools for direct agent use.

Provides a free, no-paid-API web search gateway for AI agents using DuckDuckGo and Bing HTML scrapers, with tools for search, URL fetching, and text extraction.

Safely downloads and extracts public tender documents from PDFs, Office files, and ZIP archives into text with structured signals, while also supporting document comparison and base64 extraction.

Enables Google search queries and webpage content extraction through an MCP server deployed on Cloudflare Workers. Supports single and batch webpage content extraction with integrated OAuth authentication.

Enables local web crawling and scraping through MCP, providing tools to fetch pages as Markdown, extract structured data with CSS selectors, and capture full-page screenshots while managing a shared browser instance.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

MCP server giving AI agents 86 tools for browser automation via Chrome DevTools Protocol, including navigation, click/fill ladders, network inspection, per-site cracks, and optional marketplace for site-specific knowledge packs.

Enables performing local web searches and extracting structured content from web pages using the Model Context Protocol, featuring customizable result limits and domain filtering.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

An MCP server that enables Claude Code to perform web searches via Bing, read webpage content, and get current time, with a smart search skill for structured multi-source verification.

Offline-first MCP server for web search and content fetching. It requires no external API keys and uses local models for intent classification, optional cross-lingual search, semantic re-ranking, and direct-answer extraction.

An MCP server that searches and scrapes multiple sources concurrently (web, DuckDuckGo, Wikipedia, arXiv, Hacker News) and renders an interactive picker UI where users can multi-select sources and delve into full page content.

Provides an MCP server that enables web search and page extraction across multiple providers with automatic failover and quota rotation, plus a local dashboard for managing keys, engine order, and request history.

A local-first, no-API-key MCP server that enables LLMs to search the web, fetch pages, and read documents using multiple engines and smart fallbacks.

Enables Claude to fetch web pages from the user's own local network connection instead of AI datacenter IPs, including optional authenticated sessions, with verdicts for bot challenges, login walls, and other failures.

Enables any MCP-capable harness to run queries through a real browser driving real search engines in a configurable fallback chain (Google, DuckDuckGo, Bing, Baidu, Sogou), with CAPTCHA or sign-in handoff, persistent per-engine cookies, and reported provenance for each result.

A self-hosted MCP server for web search with multi-engine support, combining search, URL fetching, and deep research along with proxy routing and deduplication.