Clients
389 editors, desktop apps, agents and frameworks that support MCP.
Desktop Apps
Intelligent chat application based on MCP (Model Context Protocol), supporting web and desktop environments. Integrates OpenAI/Anthropic APIs, providing all tool capabilities of MCP services. Clean and modern UI design with cross-platform deployment support
An MCP server that gives AI assistants access to your Copilot Money personal finance data. It reads from the locally cached Firestore database (LevelDB + Protocol Buffers) on your Mac. Reads are 100% local with zero network requests.
A locally deployed Agent application built on the Ollama inference framework, featuring MCP tool calls and short- and long-term memory. || A locally deployed Agent application built on Ollama, featuring MCP tool integration along with both short-term and long-term memory support.
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
FullMention gives you structured visibility data from ChatGPT and Gemini in one single API call per keyword. Pull brands, websites, and products simultaneously without running 20+ separate query loops. Save massive API costs while unlocking complete market dominance insights.
StationOne is a local-first, model-agnostic AI client and orchestration layer that enables users to build, run, and manage agentic workflows across multiple LLMs and MCP connectors. It provides a unified workspace for integrating AI models, tools, and data sources through the Mod
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.
