"How to use my web browser effectively" matching MCP servers:

Enables AI agents to perform query-driven web searches and fetch page content via Bing and DuckDuckGo engines, with automatic fallback and no API keys needed.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Enables AI agents to automate web browsers using local Ollama models via the Model Context Protocol, supporting tasks like web search, data extraction, and e-commerce analysis through natural language commands.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

Trust layer for 412 official Malaysian public datasets, with freshness, licences, and a public read-only MCP server. No API key.

A Model Control Protocol server that enables AI agents to perform web browsing tasks through a standardized interface using the browser-use library.

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.

Enables agents to search a local, fully offline personal document library (Markdown/txt/PDF/docx) via SQLite FTS5 trigram search with subject-terminology expansion, returning every hit with its domain, document title, section path, and page or offset provenance. It also exposes domain statistics, incremental ingestion, and document deprecation as tools, alongside a read-only, runtime-persona-scoped ask/coverage mode.

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

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

Enables AI assistants to search Perplexity.ai through browser automation without an API key, returning answers with cited sources.

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.

MCP server that lets AI agents perform Google AI Mode searches using the user's own browser session, returning synthesized answers with citations.

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

Personal MCP server that wraps K-IFRS, K-GAAP, auditing standards, and Q&A from kifrs.com and FSS, providing 16 tools for search, citation verification, and feedback.

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.

Exposes Aniket Charjan's resume as a queryable API for AI assistants, implementing MCP tools, resources, and prompts for detailed resume queries.

Persists web fetch and search results as timestamped JSONL files, indexed for full-text search, enabling users to retrieve and search across archived web pages even after they are removed or changed.