"browser use" matching MCP servers:

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

Enables MCP hosts to use NeoSQL Desktop tools for database management, including querying, table operations, and code generation, through a local stdio MCP server.

Provides GDB debugging functionality for use with Claude or other AI assistants, allowing users to manage debugging sessions, set breakpoints, examine variables, and execute GDB commands through natural language.

A tool that allows Claude Code to use Gemini AI as an MCP server, leveraging Gemini's large context window for analyzing large files while saving Claude Code tokens.

A lightweight bridge that wraps OpenAI's built-in tools (like web search and code interpreter) as Model Context Protocol servers, enabling their use with Claude and other MCP-compatible models.

A model context protocol server that enables applications to use stackzero-labs/ui components through the MCP protocol, supporting both standalone operation and integration with Claude Desktop and Cursor.

Enables AI models to access GitHub repository contents as context, with features to fetch entire repositories, specific file contents, and repository structures for use in AI interactions.

A framework to use with AI to easily create a server for any service. Just drop the API Documentation in it and ask to create the MCP.

Turn the AI you already use into a game studio. Describe a game and Claude or Cursor builds it as a real 3D browser game: playable immediately, hosted on its own link, shareable with anyone. No engine, no build step, no code knowledge, nothing to export. Your AI ships the whole thing: it pulls free 3D assets, rigs characters, and playtests its own build until the game works. Free to start.

A proxy server that allows LLM clients to use Databutton app API endpoints as tools through the MCP protocol over websockets.

An MCP server that enables AI platforms to interact with YepCode's infrastructure, allowing LLM-generated scripts to run on YepCode and turning YepCode processes into powerful tools that AI assistants can use directly.

A professional Python framework and template for building robust Model Context Protocol (MCP) servers with modular architecture, enterprise features like authentication and rate limiting, and comprehensive tooling. Provides easy-to-use APIs for registering tools, resources, and prompts with full type safety and multiple transport support.

Aggregates tools from multiple upstream MCP servers and exposes them through 4 meta-tools, enabling LLMs to discover and use hundreds of tools without loading all schemas upfront.

A remote MCP bridge that lets MCP clients use Modal sandboxes for Linux execution, dependency installation, Git operations, GPU jobs, and invoking deployed Modal Functions.

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.

Enables AI assistants to create isolated Kubernetes Pod sessions for real-time shell command execution, file management, and Node.js code execution, with automatic TTL-based cleanup.

A policy layer between ChatGPT and the official Codex MCP server, adding safety controls like read-only sessions, approval policies, and secret scanning for secure daily use.

A secure MCP (Model Context Protocol) server hosted on Google Cloud Run that enables team collaboration by providing authenticated access via Google Cloud IAM, allowing teams to share custom MCP servers over the internet before official MCP authentication is implemented.

An MCP server that exposes your local Claude Code CLI over HTTP+SSE, enabling any MCP-compatible client to use your Claude Code MAX/PRO subscription remotely.

Enables Codex to connect to a locally running JupyterLab instance and use its notebook tools through MCP, allowing tasks such as reading and executing notebooks.