Top MCP Clients

Provides autonomous coding assistance directly in the IDE, enabling file creation, editing, terminal command execution, browser interactions, and tool extension with user approval at each step.

Provides a customizable ChatGPT‑like web UI that integrates dozens of AI models, agents, code execution, image generation, web search, speech capabilities, and secure multi‑user authentication, all open‑source and ready for self‑hosting.

Provides continuous AI assistance across IDEs, terminals, and CI pipelines, offering agents, chat, inline editing, and autocomplete to accelerate software development.

Automates engineering tasks by installing, executing, editing, and testing code using any large language model, providing end‑to‑end project building, debugging, workflow orchestration, and external API interaction.

A lightweight, composable framework for building AI agents using Model Context Protocol and simple workflow patterns.

Easily create and interact with MCP servers using custom agents, supporting any LLM with tool calling and offering multi‑server, sandboxed, and streaming capabilities.

A cross‑platform desktop AI assistant that connects to major LLM providers, supports a local knowledge base, and enables tool integration via Model Context Protocol servers.

Empowers large language models to act as personal AI assistants directly inside the terminal, providing capabilities such as code execution, file manipulation, web browsing, vision, and interactive tool usage.

A framework for quickly building AI native IDE products, supporting Model Context Protocol tools via an MCP server.

Create and interact with sophisticated AI agents and workflows using a declarative syntax, with built‑in support for MCP features, multimodal inputs, and a wide range of language model providers.

Build full‑stack AI‑powered applications with unified SDKs, language‑agnostic APIs, and integrated observability, evaluation, and deployment tools.

Interact with Ollama models through an intuitive terminal UI, supporting persistent chats, system prompts, model parameters, and MCP tools integration.

Provides an agentic chat experience in the terminal, enabling users to build applications via natural language commands.

Integrates Model Context Protocol servers into Neovim, offering an intuitive UI for managing, testing, and using them with popular chat plugins.

A desktop AI assistant that bridges dozens of LLM, image, video, speech, and search providers, offering chat, generative media, RAG, shortcuts, and extensible plugins directly from the OS.

Connect and optimize teams of AI agents across any framework, data source, or tool, while providing profiling, observability, evaluation, and a UI for rapid development and debugging.

Enables browser automation powered by large language models, offering natural‑language commands, AI‑driven data extraction, and seamless fallback to regular Playwright functionality.

Provides a unified platform for managing AI models, MCP servers, and complex workflows, featuring secure credential storage, a visual flow builder, and an integrated chat interface.

Create composable, stateful AI agents with persistent memory, TypeScript‑first design, and native Model Context Protocol (MCP) integration, enabling seamless access to external tools and pay‑per‑use AI models.

Provides an MCP client integrated into Emacs, enabling interaction with MCP servers directly from the editor.

Provides a desktop interface to chat with local or remote LLMs, schedule tasks, and integrate Model Context Protocol servers without coding.

Discover and install open-source MCP servers directly within VSCode, enabling seamless integration with GitHub Copilot Chat for enhanced AI‑augmented development.