"Browser Automation" matching MCP servers:

Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.

Bridges Google Antigravity CLI with MCP clients, enabling 13 specialized tools for AI-assisted coding, automation, and security audits.

An MCP server for local Cocos Creator 3.8 automation, enabling coding agents to create projects, edit scenes, and build WeChat Mini Games directly on a developer machine.

MCP server for integrating coding agents (Claude Code CLI, etc.) with the GIMS Automation system. Enables development of automation scripts, data source types, activator types, and Git synchronization.

An MCP execution layer that lets capable AI models safely control a developer workstation for file edits, terminal and process execution, Git operations, language-server analysis, browser and Windows UI automation, media processing, job/resource control, and checkpointing. It also coordinates durable single- or multi-agent tasks across providers with leases, dependency graphs, evidence logs, repair loops, and separate verification gates.

Bridges browser-based AI assistants with coding agents like Claude Code and Cursor via MCP, enabling chat relay, browser automation, and skill installation.

Enhances Gemini CLI with SuperClaude Framework v4.0.9, providing 22 specialized commands, 14 domain-expert agents, and integration with 6 MCP servers for development, analysis, and automation.

Enables agents to delegate coding tasks to self-hosted Hermes workers running in isolated container dev boxes, each with its own workspace, browser, and optional desktop, then monitor progress and collect screenshots, recordings, and PR evidence.

LocalAnt is a local-first MCP gateway that lets ChatGPT control your PC through approved, permissioned tools for shell commands, file management, coding agents, browser automation, and more.

Enables users to run shell commands with compressed output, extract information from large files, drive local opencode and Codex agents, perform browser-automation tasks, and monitor runs via a live dashboard.

Enables a single MCP connector to route requests to independent local Chat and Codex runtimes, supporting workspace operations, process control, reviews, browser-backed tasks, and Codex workflows through one public ingress.

Enables turning AI code agents like Anthropic Claude and OpenAI Codex into background agents accessible via MCP protocol for code generation, branch creation, and PR automation.

Multi-system MCP server for reading and writing ABAP source via SAP ADT, with a local web admin, browser-based login, and tools for source navigation, editing, activation, testing, and debugging.

Connects MCP-compatible AI clients and agents to one durable Project Brain plus controlled access to authorized project folders on your own machine. Enables file editing, terminal and Git operations, project intelligence, browser automation, and local MCP server federation, all scoped to explicit workspace grants.

An MCP server that enables automation of FreeCAD model creation, macro execution, and view management through a server-client architecture, supporting integration with external AI tools like Claude and Cursor.

Turn your AI coding agent into a producer of interactive, narrated walkthroughs — code, whiteboard, and 3D casts, each a single self-contained HTML file that opens in any browser. Runs locally over npx.

An open-source MCP server for industrial automation that generates, debugs, and validates PLC code for Siemens S7-1200, serving as a free and customizable alternative to Siemens Eigen Engineering Agent.

Easily create custom reusable automation tools from casual browser actions using Apify Agent. Automate workflows by running your recorded actions turned into MCP tools.

Enables autonomous coding agents to escalate complex technical questions to ChatGPT Desktop app via ToS-compliant UI automation, returning expert responses automatically without user intervention.

An AI engineering team for embedded firmware, lab automation, and hardware drivers. It uses 53 specialized experts and a datasheet-to-release pipeline to produce auditable, hardware-aware code.