"Recommended MCPs for cursor programming: Names, Functions, and Use Cases" matching MCP servers:

Exposes remote, agent-facing MCP endpoints over Streamable HTTP for web search, webpage parsing, local knowledge-base retrieval and document creation, and delegation of tasks to configurable LLM providers. Also bundles an admin console with onboarding, provider/model configuration, API-key management, and call logging.

Launches multiple Browser-Use agents to automatically test websites for UI bugs, broken links, accessibility issues, and other technical problems on both live and localhost sites.

Browser control for Claude Code, on Firefox.

Enables web search, content extraction, question answering, and RAG context generation using Tavily API with Cursor-compatible underscore-named tools.

Enables browser automation through MCP clients like Claude or Cursor, using the client's existing LLM without requiring an additional API key.

An MCP server for automating browser tasks using the Browser Use API. Provides tools to run, monitor, and manage browser automation tasks.

This gives Claude Desktop access to browser automation tools for web scraping, form filling, and more.

Demonstrates using Playwright with the Model Context Protocol (MCP) to enable large language models to automate browser interactions, with an example of cursor-based pagination against the GitHub GraphQL API.

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

An MCP server that enables remote observation and control of a Chromium browser via a WebSocket relay, supporting DOM, CDP, and native OS automation for local or LAN-based AI agents.

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

Enables browser automation using Python scripts, offering operations like taking webpage screenshots, retrieving HTML content, and executing JavaScript.

Provides accessibility testing capabilities through CLI, helping identify accessibility issues in web applications using axe-core and Puppeteer.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Provides AI clients with deterministic Playwright-driven browser control, enabling navigation, interaction, screenshots, and inspection of rendered HTML, computed styles, console diagnostics, and font audits without an embedded LLM or API key.

Pixel-level browser automation MCP server that drives a real Chrome browser using screenshots as vision input and OS-level mouse/keyboard as output, evading anti-bot detection.

Enables AI agents to control and automate browser actions through an MCP server deployed on Heroku. Supports programmatic browser automation with natural language tasks across multiple LLM providers.

An MCP server that enables AI assistants to control a web browser through natural language commands, allowing them to navigate websites and extract information via SSE transport.

Enables MCP-driven browser automation from any MCP client by pairing with a Chrome extension, translating tool calls into WebSocket commands to drive Chrome without an Electron host.

Enables AI assistants to browse websites, extract information, fill forms, interact with pages, and execute multi-step web tasks autonomously.