"A search engine for finding information on the web" matching MCP servers:

Multi-source web search MCP server with RRF fusion, 4-layer URL extraction, and provider health tracking.

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

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

Provides a free web search tool to MCP clients by connecting to a self-hosted SearXNG metasearch instance, enabling users to search the web with customizable parameters like categories and time range.

Provides multi-provider web search capabilities with fallback chains, semantic reranking, and content extraction for grounded agent retrieval.

Enables MCP clients and a terminal CLI to run web searches through a user's own SearXNG instance, saving every query as a reusable session and optionally generating AI-synthesized answers.

Enables MCP clients to conduct search-first web research through source discovery, page retrieval by ID, and direct URL reading.

A Streamable HTTP MCP server that enables Google search capabilities using agy's OAuth session, deployable locally or on Cloudflare Workers/Vercel Edge.

Enables web search, page fetching and cleaning, OCR from images, and broken-link checking through MCP tools, with multi-provider aggregation, caching, and anti-detection features.

A high-performance search service that converts results from Google, Bing, and DuckDuckGo into structured JSON or Markdown. It features multi-layer depth crawling and uses the Camoufox anti-detection browser for reliable content extraction and fallback search logic.

Provides web search and content extraction for AI agents.

A headless, API-first MCP server that transforms unstructured creative portfolios into validated, machine-readable llms.txt manifests for the agentic web.

Provides a Google search tool via the Serper API, returning structured results and a summary answer for LLMs like Claude.

Provides AI agents with 12 real-time tools for search synthesis, grounded research dossiers, claim verification, citation generation, sentiment analysis, expert ranking, timeline creation, and competitive landscape mapping over Streamable HTTP or stdio.

Enables MCP clients to perform intelligent web searches via Traylinx's Agentic Search API, returning text summaries and structured data like HTML, images, and news.

Provides web search and content retrieval optimized for AI coding assistants, returning full conversations and structured content from StackOverflow, GitHub Issues, arXiv, and Wikipedia in a single call.

Remote HTTP/SSE MCP server for web search with full page content extraction, search summaries, and API authentication.

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 AI agents to extract clean LLM-ready markdown and readable articles from web pages, parse metadata, tables, links, feeds, and contact info, audit paywalls, SEO, and XSS, and access these tools via Streamable HTTP or a stdio bridge.

Provides web search capabilities to Claude AI using the Anthropic API, allowing LLMs to access up-to-date information from the web with customizable domain filtering.

Provides a stable, side-effect-free MCP tool contract that enables AI workflows to be prototyped, demoed, tested, or dry-run without connecting to databases, APIs, files, or other real data sources. It enables swapping in a real data server later without changing the AI-facing interface.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

Long-term persistent memory for AI agents with hybrid search (DiskANN + FTS), bi-temporal knowledge graph, and 81.1% LongMemEval accuracy.

Audits AI agent skills for safety using static, semantic, adversarial, and supply-chain analysis, providing scores and risk flags. Can be run via CLI, CI, or as an MCP tool from Claude Code, Cursor, and Codex.

Lets agents declare what data they need by concept plus entity (e.g. "price.close of Moutai"), then resolves those concepts to physical columns, ranks candidate sources, and fetches with failover. Over 70 tools also cover catalog and binding management, entity identity and graph, semantic and AI search, crawl policy and platform control, coverage reporting, schedules, authenticated-login pools, and governed observation reads.

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 AI agents to search, read, organize, draft, send, and schedule email through a scoped token, with actions journaled and reversible. It also supports proposal queues, approval workflows, and undo operations for safe mailbox automation.

Enables AI clients to search curated, cited knowledge bases built from founders', CEOs', and investors' public talks, essays, and posts, returning passages with source links and dates. It also exposes available source collections via MCP tools so users can ask how those individuals might approach business, product, or growth questions.

Persistent memory for AI agents with semantic memory, belief tracking, and dream consolidation, enabling cross-session knowledge retention.

Provides Google search capabilities, web content extraction, and screenshot functionality with advanced bot detection avoidance through the MCP protocol.