"Using Yandex Browser to Search for Information" matching MCP servers:

Enables Yandex search with advanced content extraction, analysis, and LLM-context formatting through a Model Context Protocol server.

Enables comprehensive control and automation of Yandex Browser, including tab management, content extraction, and console log monitoring. It supports element interaction, form filling, and JavaScript execution through the Model Context Protocol.

Enables web search via a real browser for any LLM, bypassing anti-bot measures without API keys.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

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

Reliable, scalable browser infrastructure for AI agents. Route, pool, and failover across any browser provider. 8 built-in browser tools using raw Chrome CDP - navigate, screenshot, snapshot, interact, evaluate. Zero-config with auto Chrome detection & concurrent sessions support

Enables reverse image search using Yandex via Apify, returning structured JSON with matching pages, similar images, and more.

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.

Enables browser automation over MCP using a real Chrome browser with existing profile, supporting real tabs, downloads, cookies, and RPA workflows.

MCP server for Yandex Eda (food delivery) that allows checking authorization, setting delivery address, searching restaurants, viewing menus, managing cart, and placing orders with safety features.

Enables LLM agents to fetch live Yandex Market data via plain HTTP, with honest labeling of prices (pay-card vs plain vs discounted), sponsored tiles, seller and model-group ratings, reviews, questions, and seller legal details. It avoids common scraped-data traps such as misleading discounts, captcha pages, and cross-border or conditional offers.

Agent-native browser control MCP server that enables AI agents to browse and interact with web pages via accessibility tree snapshots and ref ID-based commands.

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.

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.

Headed Playwright browser MCP server with persistent profile, providing 23 tools for full browser automation while masking PII data.

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.

A powerful MCP server for UI designers and developers to extract, analyze, and clone website front-end code (HTML, CSS) with pixel-perfect accuracy using browser automation.

A lightweight 30KB MCP browser automation server that uses raw Chrome DevTools Protocol to enable AI agents to browse the web, take screenshots, interact with elements, and capture live page events like console logs and network requests.

touch-browser is an evidence-grounded MCP server for public docs and research web workflows. It helps AI agents search and open web pages, extract page-local evidence with citations and confidence bands, classify browsing risk, and synthesize multi-page sessions into citation-ready reports.

An MCP server that enables AI coding tools to control a browser for automated actions, UI extraction, network interception, and screenshots.