"browser" matching MCP servers:

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 browser automation and API testing for AI agents using Playwright and Chrome DevTools Protocol, with numbered element references, Set-of-Mark screenshots, flow recording/replay, element memory, captcha handoff, and HTTP API test suites.

🚀 Active Fork of executeautomation/mcp-playwright This repository is an actively maintained continuation of the original MCP Playwright server: >👉 https://github.com/executeautomation/mcp-playwright A Model Context Protocol server that provides browser automation capabilities using Playwright.

Enables agents to call a website's own authenticated GraphQL and REST APIs directly as typed MCP tools, derived from captured browser sessions instead of scraping HTML.

Enables agents to author, validate, and execute browser/API test plans with parallel drivers, assertions, and captured evidence such as screenshots and network logs.

Enables a coding agent to turn an OpenAPI/Swagger file or a recorded browser session (HAR) into a curated, tested MCP server project with ordinary Python code, tests, CI, and publish workflows. It exposes tools to inspect the source, draft and redesign a workflow-level tool plan, validate it, generate the project, and verify every tool with live calls to detect API drift.

All-in-one automation platform for AI agents, providing browser automation, API testing, debugging, and testing tools via the MCP protocol.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools without restarting the application. It also supports scaffolding MSW setup and managing browser-connected mocking sessions via a WebSocket bridge.

Enables agents to stream browser HAR captures into an indexed, redacted session and query endpoints, forms, authentication flows, and resource types through paginated MCP tools, with optional headless or interactive browser capture and export to OpenAPI or client SDKs.

This MCP server is a zero-config CLI tool that lets developers tap into any stdio-based MCP server from their terminal, enabling them to list tools/resources/prompts, call tools with JSON arguments, and health-check servers without requiring a full AI client or browser setup.

Enables AI agents to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, using a WebSocket bridge to live browser sessions and a setup prompt that scaffolds the MSW integration. Changes apply without restarting the application or editing its source.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, including scaffolding project setup. Changes take effect in the running browser app without restarting the application source code.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker request handlers at runtime through MCP tools, with setup scaffolding and a WebSocket browser bridge.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker network handlers in a running browser app through a WebSocket bridge, without touching application source code or reloading the page. It also provides a setup prompt to scaffold the MSW and client integration in a project.

Enables AI agents to dynamically add, update, and remove Mock Service Worker network mocks at runtime, without reloading the browser or restarting the application. It also scaffolds MSW setups and brokers handler updates to the browser over a WebSocket bridge.

Captures browser network traffic, analyzes API patterns, and exposes analysis tools through an MCP server for AI-assisted workflows.

Enables admins to author and manage persistent mock MCP servers and OpenAI-compatible endpoints through a browser UI and admin API, with REST mocks, shared datasets, and traffic logging for demos and training.

This MCP server enables interaction with Google's Verified Access API, allowing users to verify the security posture of Chrome OS and Chrome Browser devices through natural language commands.

Enables AI agents in Copilot Chat to autonomously plan, generate, and self-heal Playwright UI and API tests by connecting to a local browser runtime.

It enables agents to discover and invoke web-task tools built from a single browser demonstration, replaying the necessary HTTP calls with parameter, secret, and data-flow bindings resolved per run.