"A tool for querying web pages saved in browser bookmarks" matching MCP servers:

Enables AI agents and MCP clients to drive real Chrome, Edge, Brave, and Firefox browsers through native automation protocols. It exposes tools for navigation, page snapshots, form filling, clicks, screenshots, console/network inspection, and tab management.

A local MCP server that gives saved bookmarks a lifecycle with time-based layers (pending, watching, kept, lapsed), so they get decided on instead of accumulating. It aggregates bookmarks from your browsers, drips them into a daily queue, and supports keep/watch/drop decisions, restore, and undo.

A local, read-only MCP server that makes bookmarks from browsers, read-later apps, and export files accessible to AI assistants, enabling search, triage, and summarization without sending data anywhere.

Pages Native 0.5.0: 36 local MCP tools and a Codex plugin for native Apple Pages on macOS. Guarded text and table edits, structured search, typed model recipes, batches of up to 10 documents, recipe history and restoration, native PDF previews. Uses only the public Pages scripting API; preserves .pages without Word conversion or Accessibility.

Enables agents to synthesize typed MCP tool schemas at runtime, validate Python ASTs for unsafe imports, compile sandboxed callable handlers, and hot-plug them into an active MCP runtime. It provides a zero-dependency, standard-library-only MCP server for safe just-in-time tool creation and execution.

Enables AI agents to open, read, and act on live web pages through verified browser actions, including filling forms, extracting data, debugging pages, and handling bot walls.

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

Enables a coding agent to read web pages through the user's own real, logged-in Chrome profile instead of a server-side fetcher, so pages behind logins, SSO, or bot checks load successfully. Exposes tools to extract readable text from the active tab and to open a URL in a background tab with real cookies, read it, then close it.

A fast web reader for AI assistants, served over MCP. It reads web pages and PDFs and returns only the passages that answer the question, not whole pages. It runs locally and keeps nothing.

Enables AI agents to build and structurally validate Indian GST e-invoice JSON payloads (INV/CRN/DBN) and render IRP-returned signed QR strings as PNG images.

This MCP server enables users to convert web page DOM structures into accessibility trees, filter non-interactive elements, generate robust CSS/XPath locators, and compile goal-driven multi-step browser automation plans with verification.

Browser use using Typesafe's Jev model

Enables reading web pages and PDFs as clean Markdown, extracting main content and letting agents query for relevant passages, outline sections, search in-page, and list links while respecting robots.txt and blocking private addresses.

Enables an assistant to search and read AnkiWeb's shared-deck catalogue, download decks as .apkg files or Markdown, list the decks synced to your account, and publish a deck after a confirmed preview, all through your own AnkiWeb session. It can reuse a signed-in session from a local Chromium browser or open a login window, keeping credentials out of the server.

Audits MCP tool descriptions for quality and reliability, scoring them 0-100, detecting smells, and providing rewritten versions for better agent accuracy.

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

Provides a unified web search tool for AI agents by running multiple search providers concurrently and returning normalized results. It integrates with Claude Code, Codex CLI, OpenCode, and Hermes.

A token-efficient MCP server for Chrome browser automation that uses direct CDP and accessibility-tree-based references for stable element selection across DOM changes.

Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.

Gives AI agents a compact, semantic interface to the browser, returning structured page snapshots with stable element IDs instead of raw DOM. Enables agents to navigate, interact, and extract information from web pages efficiently.

Use your existing Firefox and logged-in tabs, limited to tabs or tab groups you explicitly share.

Enables AI agents to drive your real, logged-in Chrome browser with existing sessions and cookies, bypassing CAPTCHA and anti-bot measures, with support for multi-session and human-in-the-loop workflows.

Human-in-the-loop automation framework. Log them in, watch them run.

Lets MCP agents drive VS Code's integrated browser tab that the user shares with them: opening pages, taking accessibility snapshots and screenshots, clicking, typing, scrolling, dragging and reading console and network activity with real trusted input. It also maps a picked element back to the source file, line and column that rendered it, so an agent receives the same selection the developer clicked.

Pay-per-call web page extraction, on-page SEO audits and text analysis for AI agents. Paid in USDC on Base via x402; no API keys, failed calls are not charged.

A Model Context Protocol (MCP) integration that provides Claude Desktop with autonomous browser automation capabilities. This agent enables Claude to interact with web content, manipulate DOM elements, execute JavaScript, and perform API requests.

A local Python WebSocket bridge and browser extension that securely connects web AI chats to local Model Context Protocol (MCP) servers. It enables web-based AIs to execute local tools with granular permission controls, providing the same powerful tool and system access typically exclusive to desktop agent harnesses like DeepSeek Harness, Claude Code, Codex and more.

Use your signed-in Chrome through a local MCP server and companion extension. Supports tabs, navigation, forms, screenshots, and page reading, with a deny-all domain allowlist. Install: npx -y mcp-browser-extension@latest.

A browser-automation MCP server built on Playwright that provides deterministic snapshots via MutationObserver/requestAnimationFrame, HITL governance, multi-task isolation, and self-healing browser sessions for LLM-driven browsing.

Enables AI agents to control your installed Google Chrome through MCP or HTTP using compact text snapshots, exact pixel coordinates, and a visible cursor. It provides browser tools for navigation, clicking, typing, scrolling, tabs, forms, waiting, recording, and human handoff.