Discover and explore Model Context Protocol clients that can connect to various MCP servers.
by zed-industries
A high‑performance, multiplayer code editor designed for speed and collaboration.
by cline
An autonomous coding assistant that can create and edit files, execute terminal commands, and interact with a browser directly from your IDE, operating step‑by‑step with explicit user permission.
by danny-avila
Provides a self‑hosted ChatGPT‑style interface supporting numerous AI models, agents, code interpreter, image generation, multimodal interactions, and secure multi‑user authentication.
by continuedev
Enables faster shipping of code by integrating continuous AI agents across IDEs, terminals, and CI pipelines, offering chat, edit, autocomplete, and customizable agent workflows.
by RooCodeInc
Provides an autonomous AI coding partner inside the editor that can understand natural language, manipulate files, run commands, browse the web, and be customized via modes and instructions.
by lastmile-ai
Build effective agents using Model Context Protocol and simple, composable workflow patterns.
by mcp-use
A Python SDK that simplifies interaction with MCP servers and enables developers to create custom agents with tool‑calling capabilities.
by nanbingxyz
A cross‑platform desktop AI assistant that connects to major LLM providers, supports a local knowledge base, and enables tool integration via MCP servers.
by gptme
Provides a personal AI assistant that runs directly in the terminal, capable of executing code, manipulating files, browsing the web, using vision, and interfacing with various LLM providers.
by opensumi
A framework for rapidly building AI‑native IDE products, offering extensible editor components, Electron desktop support, and MCP client integration.
by evalstate
Enables rapid creation and interaction with sophisticated agents and workflows using a declarative syntax and full MCP support, including multimodal resources and sampling.
by firebase
Provides a unified SDK to build, test, and deploy AI-powered applications across multiple programming languages and model providers, with built‑in observability, evaluation, and deployment tooling.
by ggozad
Interact with locally hosted Ollama models via an intuitive terminal UI with persistent chat sessions, model customization, and tool integration.
by aws
Provides an agentic chat experience directly in the terminal, enabling developers to build applications using natural language.
by ravitemer
Integrates Model Context Protocol servers into Neovim, offering an intuitive UI for managing, testing, and using those servers with popular chat plugins.
by nbonamy
A desktop AI assistant that integrates with dozens of LLM providers, offering chat, multimodal generation, RAG, shortcuts, and extensible commands across the operating system.
by NVIDIA
A flexible, lightweight library that connects and optimizes teams of AI agents, enabling seamless integration with various frameworks, tools, and data sources.
by hyperbrowserai
Enables natural-language-driven browser automation using Playwright and LLMs, allowing tasks like navigation, data extraction, and multi‑page workflows without writing brittle scripts.
by mario-andreschak
A unified platform that manages AI models, MCP servers, and complex workflows, offering secure key storage, visual flow building, and an interactive chat UI.
by daydreamsai
Provides a TypeScript‑first generative agent framework with composable contexts, persistent memory, universal model routing, and native Model Context Protocol (MCP) integration for building production‑grade AI agents.
by lizqwerscott
Provides a client for interacting with MCP servers directly within Emacs, enabling seamless communication and integration.
by runebookai
A desktop application that lets anyone chat with local or remote LLMs, schedule hourly or daily prompts, and connect to thousands of Model Context Protocol servers without writing code.
by VikashLoomba
Discover and install open‑source MCP servers within VSCode, enabling integration with GitHub Copilot Chat.
by Abiorh001
Provides a complete AI agent platform that combines the OmniAgent builder, a local tools system, autonomous background agents, multi‑tier memory with vector search, real‑time event streaming, and a universal MCP client usable via CLI or embeddable library.