"Browser Application" matching MCP servers:

BeamScope gives AI coding agents access to your running BEAM application through a resilient TCP architecture that survives app restarts.

Lets an AI application instantiate, connect to, drive, capture output from, and interrogate a real BBC Micro emulator.

Provides a headless session runtime for reactive compute graphs, enabling MCP-driven cell operations without a DOM or browser.

An application that demonstrates the future of user interactions through natural language with LLMs, enabling user registration, authentication, and data interaction exclusively via Model Context Protocol (MCP) tools.

An MCP server that allows users to deploy Python scripts to Modal directly from Claude, providing a link to the deployed application that can be shared with others.

Enables AI agents to operate disposable Linux computers via MCP, providing tools for shell, file read/write, directory listing, and port exposure. It also supports browser automation and integration with any MCP-compatible client.

A local middleware Node.js application for Windows that enables seamless communication between LLM-based tools like Copilot Agents, providing access to local guide files and custom prompts through built-in tools.

Enables AI agents to create isolated Docker runtimes, execute commands, manage workspace files, drive a headed browser, and retrieve artifacts through eight semantic MCP tools, with progressive capability discovery and explicit sandbox lifecycle.

Enables a browser-based AI assistant to read code, edit files, run tests, inspect failures, and keep task checkpoints on a local project.

Enables zero-install Macaulay2 computations from JupyterLab in a browser, including Groebner bases, resolutions, Betti tables, and package loading via the Model Context Protocol.

A GDB/MI protocol server based on the MCP protocol, providing remote application debugging capabilities.

A development server that automatically discovers and exposes tools from the src/tools directory, allowing you to create and run Machine Comprehension Protocol (MCP) services with either HTTP or STDIO transport methods.

A server that leverages the XMCP framework to discover and execute tools from the src/tools directory, supporting both SSE and STDIO transport methods for interaction.

MCP server that gives any LLM a managed Docker workspace with live browser, terminal, code execution, document skills, and autonomous sub-agents.

BlenderMCP connects Blender to AI agents via the Model Context Protocol, enabling direct 3D object manipulation, material application, asset downloads, and Python code execution with secure token-authenticated local communication.

MCP server for Oracle WebLogic Server administration using WLST, enabling server lifecycle, application deployment, monitoring, and diagnostics.

MCP servers for controlling SciREPL from coding agents and MCP clients, offering an app-connected broker and a Playwright driver for browser automation.

Enables AI assistants to automate Next.js development including project scaffolding, React component generation, API route creation, and full-stack application workflows with TypeScript and Tailwind CSS support.

A high-performance desktop application that implements the Model Context Protocol (MCP), providing both server and client capabilities for tool discovery, usage, and management through a modern PyQt6 interface.

A Model Context Protocol server that enables LLMs to interact with VS Code's Simple Browser, allowing for browser control, JavaScript execution, console monitoring, and navigation through natural language.