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20 Best Browser Automation MCP Servers: compared and ranked, September 2026Ranked from 2,831 matching servers on stars, growth, downloads and maintenance. Updated .

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    🚀 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.
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    MIT
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    Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.
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    MIT
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    Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.
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    MIT
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    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.
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    MIT
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    Enables AI assistants to interact with the Post For Me API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.
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    Apache 2.0
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    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.
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    Enables AI assistants to search, analyze, and debug application API traffic captured by Tusk Drift, including HTTP requests, database queries, distributed traces, latency metrics, and error rates.
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    MIT
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    MCP server for Akamai APIs. 198 tools covering Property Manager, Edge DNS, CPS, WAF, and reporting. Built with TypeScript, featuring modular architecture, comprehensive testing, and multi-account support. Make Akamai accessible to AI assistants.
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    MCP server for scanning smart contracts for security vulnerabilities. It detects issues like reentrancy, overflow, access control, and provides security scores with NEAR-specific recommendations.
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    MIT
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    Integrates Bruno CLI for API testing, enabling users to run API requests and collections, manage environments, generate test reports (JSON/JUnit/HTML), and validate collection structures through natural language commands.
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    MIT
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    An MCP server that enables AI assistants to control HTTP Toolkit for intercepting, inspecting, and debugging HTTP(S) traffic from browsers, mobile devices, and Docker containers. It provides tools for server management, interceptor activation, and sending HTTP requests through natural language commands.
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    Enables management of penetration testing reports and vulnerabilities through a REST API, supporting CVSS 3.1 scoring, HTML formatting, and secure JWT authentication for comprehensive security assessment documentation.
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