"Information on using a web browser" matching MCP servers:

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

Enables running a stateless Model Context Protocol server over Streamable HTTP on Cloudflare Workers or any fetch-capable runtime, with signed sessions, origin checks, and JSON-RPC request handling. It lets developers define tools with JSON Schema validation and per-request context.

A humorous MCP server that always advises against shipping on Friday, returning a catastrophic risk level and a rotating reason.

Enables coding agents to publish HTML artifacts that users can review and comment on in a sandboxed browser viewer, with feedback loop support for iterative versions.

MCP server deployed on EdgeOne Pages, providing a Streamable HTTP MCP server for intelligent chat applications with tool capabilities like generating webpages.

A comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.

MCP server that lets AI editors execute JavaScript, read console output, and simulate clicks/input on static web pages. Supports multiple browser pages and can be deployed remotely via HTTP transport.

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

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.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

Provides Codex and other MCP clients a local web debugging server that coordinates a browser session, JavaScript debugger, bounded runtime evidence, and reproducible flow verification for vanilla HTML/JS projects.

Enables comprehensive web frontend debugging and analysis through DOM inspection, JavaScript execution, network monitoring, console log capture, and automated browser interactions. Supports complete web development workflows including testing, data extraction, and performance analysis.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

Enables web performance analysis using Google PageSpeed Insights and Chrome UX Report APIs, providing compact metrics and diagnostics without local browser automation.

A dynamic browser pool MCP server that enables multiple concurrent, isolated Playwright sessions for Claude Code and other MCP clients. It manages on-demand instances on dynamic ports to resolve session conflicts and includes automatic cleanup of idle browsers.

Enables capturing browser API traffic via CDP and turning any website into a ready-to-run FastMCP server, with no official API required.

A local stdio MCP server that verifies an isolated WPE WebKit runtime through a network-disabled Docker acceptance test. It exposes two bounded tools for native input, DOM/text state, and PNG capture without receiving URLs, profiles, credentials, or public-web access.

A Playwright-based MCP server that exposes a live browser as a traceable, inspectable, debuggable and controllable execution environment for AI agents.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.