Clients
389 editors, desktop apps, agents and frameworks that support MCP.
All
Elemental is a multi-agent framework designed with a focus on the modularity of agent workflow stages. It enables the creation and management of single-agent or multi-agent systems with ease. The core functionality revolves around dynamically planning how to solve assigned tasks.
Overreach catches AI-agent scope creep. You give it the prompt you gave your coding agent and the diff it produced; it flags every part of the diff the prompt didn't authorize — unauthorized dependencies, env vars, endpoints, cron jobs, files, and features. Every finding is determined
devops-mcp lets AI assistants (Claude Desktop, Cursor, Windsurf) connect, scan, plan, and deploy on real Linux servers — without handing the model the keys to the kingdom. Reading is always allowed; anything that changes state on a production-like server is refused unless the use
Studio is where you run MCP tools in the browser against real credentials — see inputs, outputs, and errors before you trust an agent. Enable bundles in your workspace, then add your Hub or per-bundle streamable HTTP URL in Cursor, Claude, ChatGPT, or VS Code. Workspace-scoped credentials
An Electron-based desktop application that integrates with the Rijksmuseum MCP server using the Model Context Protocol (MCP). This client enables AI-powered interactions with the Rijksmuseum's art collection through a chat interface
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
