"Browser Application" 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.

Automatically generates compelling application specifications and code based on the four dimensions (existence, historicity, relationality, irrationality), simplicity, and Figma-like UI, enabling users to create great apps without detailed instructions.

Ports Unica-style functionality to 1C:EDT projects via an MCP server over EDT-MCP, enabling batch mutations, form compilation and removal, MXL handling, and BSP scaffolding. It provides 18 tools with validation, atomic application, rollback, and resync to EDT.

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

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 coding agents to control other application windows by providing primitives for clicking, typing, capturing screenshots, and window management. Supports macOS, Windows, and Linux.

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.

An interactive task loop MCP server for Cursor IDE that enables continuous web application development through a persistent terminal-based task processing system. It automates file management and project operations by processing user input in a continuous loop using integrated Cursor rules.

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.

A Rust + Tauri 2 desktop application that turns local project folders into persistent MCP workspaces, enabling AI agents to read files, modify code, run commands and tests, check Git status, and maintain cross-conversation development context through historical checkpoints, with built-in WSS/FRP/Cloudflare tunnels and OAuth for connecting to ChatGPT.

Enables coding agents to inspect live browser runtime evidence, such as blocking elements and interaction surfaces, and to independently verify whether a code fix resolved the issue.

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.

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 Codex to delegate bounded tasks to multiple AI model workers through a persistent OpenCode 2 service, with isolated Git worktrees and safe patch review and application.

Containerized MCP server for coding agents with tools for file editing, shell commands, process management, Git, browser automation, and project snapshots.

Turns application errors into reviewed pull requests by automating root-cause analysis, Jira ticket creation, local and CI test gates, and GitHub PRs, with a human as the final merge gate.

Receives UI feedback captured by the PickFix browser extension—element picks, inline text rewrites, page comments, and recorded bug steps—and hands it to a local coding agent to fix in the current repository, with screenshots and per-item results reported back to the extension. It also pairs the extension per machine, queues batches so only one session claims each, and keeps everything loopback-only and untrusted.