Editors, terminals, desktop apps and assistants that connect to MCP servers.
Autonomous data infrastructure that turns strategic objectives into verified datasets and live intelligence streams.
Cross-platform desktop AI assistant and MCP client with local knowledge bases.
General-purpose agent framework that gives an agent a full Linux computer; supports MCP servers and A2A connectors as plugins.
Agent framework with agentic tool management over Python tools, MCP servers and skills.
Framework to build, run and manage agent platforms; agents can access live data and tools from MCP servers alongside built-in toolkits.
AWS coding assistant for IDEs and the command line with MCP server support.
Agentic coding tool from Sourcegraph for editors and the terminal with MCP server support.
Google's agentic development platform. It supports the Model Context Protocol so agents can connect to local developer tools, databases, file parsers and remote APIs.
All-in-one AI app for chatting with documents and running agents; supports Model Context Protocol tools for use with its AI agents.
Desktop AI app for ChatGPT, Claude, Gemini and Ollama with file search; connect MCP servers to browse the web, run commands, query databases and call APIs.
Multi-platform LLM chatbot and agent framework for IM platforms such as QQ, Telegram and WeChat, with MCP support.
Context-aware coding agent for editors and CLI that connects to MCP servers.
Microsoft's multi-agent framework. McpWorkbench and mcp_server_tools wrap an MCP server and expose its tools to agents.
Framework for building production-ready AI agents in Python and TypeScript, with Model Context Protocol tool support.
Native AI app for Mac. Agents can be extended with code execution, MCP tools and attached documents.
Open-source multi-agent framework. Its MCPToolkit turns CAMEL agents into MCP clients that use tools from multiple MCP servers.
Python framework for building conversational AI apps; applications connect to MCP servers over SSE, Streamable HTTP or stdio.
Desktop and mobile AI client for many providers with MCP server integration.
OpenAI assistant that connects to remote MCP servers through connectors and developer mode.
Cross-platform AI chat client for desktop, mobile and web implementing the Model Context Protocol, with chat against MCP servers and an MCP server market.
Privacy-oriented desktop AI chat app that connects to tools such as Notion, Google Sheets and browsers through MCP.
Desktop client for many LLM providers with a built-in MCP server manager.
Anthropic coding agent for terminal and development workflows, with MCP connections to external tools and data sources.
Anthropic desktop app that runs local MCP servers and connects to remote connectors.
Open-source coding agent available as an IDE extension, CLI, and SDK, with MCP support for external tools.
Tencent Cloud's AI code editor and CLI. It supports MCP server configuration to connect external tools and data sources.
AI coding plugin for Neovim with support for the Model Context Protocol so MCP server tools can be used in chat.
OpenAI coding agent for the terminal with configurable MCP servers.
Open source AI coding assistant for IDEs and terminals with configurable MCP servers.
Terminal-based coding agent from Charm that supports Model Context Protocol servers over stdio, HTTP and SSE transports.
AI coding environment whose agents can use external tools and data through configured MCP servers.
Open-source, local-first AI agent desktop client with MCP support covering resources, prompts and tools over multiple transports.
Agent harness and toolkit with CLI and SDKs; connects to Model Context Protocol servers such as Puppeteer, Linear and Firecrawl.
Python library and CLI that connects to any number of configured MCP servers and makes their tools available to any LLM, local or remote.
ElevenLabs' platform for conversational voice agents; agents can be connected to external MCP servers to access tools.
MacOS AI assistant and launcher that supports MCP servers and custom skills for extending its agents.
Factory's Droid coding agent for the CLI and IDE. MCP servers extend Droid's capabilities with extra tools and context.
Framework and CLI to code, build and evaluate agents with MCP, ACP and A2A support; connects to MCP servers with the /connect command.
Browser-based development environment from Google for building full-stack apps; its AI assistance can connect to MCP servers.
AI pair programmer for the terminal working with Claude, GPT, Gemini and other models; its MCP feature lets agents communicate with external tools and services.
Open source terminal agent from Google that uses Gemini models and MCP servers.
Google's AI coding assistant for IDEs. In agent mode, local or remote MCP servers can be configured in the Gemini settings file to add tools.
AI assistant built into Google's Android Studio IDE. Its Agent Mode can use any MCP servers the developer has configured as tools.
Open-source AI framework from Google. The Genkit MCP plugin consumes MCP tools, prompts and resources as a client via createMcpHost or createMcpClient.
GitHub Copilot agent mode in editors and on GitHub, extensible with MCP servers.
GitHub Copilot's coding agent for the terminal. It ships with the GitHub MCP server by default and supports custom MCP servers to extend its capabilities.
Open-source agent with desktop and command-line interfaces, extensible through MCP servers for coding and other workflows.
Open-source AI orchestration framework; its MCP integration connects external tools and services to Haystack pipelines and agents.
Self-improving AI agent from Nous Research; any MCP server can be connected for extended capabilities.
Open source desktop app for running local models with MCP server support.
AI Assistant and Junie in JetBrains IDEs, with MCP server configuration for external tools.
JetBrains' coding agent for its IDEs and CLI. Junie can be connected to Model Context Protocol servers through mcp.json settings.
Kubernetes-native framework for building AI agents; agents can connect to any MCP server that provides tools.
Open source coding agent extension for VS Code and JetBrains with MCP marketplace support.
Terminal AI agent from Moonshot AI for software development tasks and shell operations; supports MCP (Model Context Protocol) tools.
Agentic IDE from AWS built around specs and hooks, with MCP server configuration.
JVM (Kotlin and Java) framework for building AI agents; integrates Model Context Protocol tools into agents.
Open-source AI management system for building and running agents; integrates apps via MCP, OpenAPI, GraphQL and raw HTTP.
Platform for building agentic IM bots for Discord, Slack, Telegram, WeChat and others; acts as an MCP client to connect to MCP servers.
Lightweight wrapper that makes Model Context Protocol tools compatible with LangChain and LangGraph agents.
Java library for LLM applications that supports the Model Context Protocol to communicate with MCP-compliant servers that provide and execute tools.
Mistral AI's assistant. It offers MCP-powered connectors and can connect to any remote MCP server, even ones not listed in its directory.
Open source multi-model chat platform with agents and MCP server integration.
Data framework for LLM applications. McpToolSpec and BasicMCPClient connect to MCP servers and convert their tools into LlamaIndex function tools.
Desktop app for running local LLMs. Since version 0.3.17 it acts as an MCP host, letting users connect MCP servers and make them available to models.
Open-source AI agent workspace and chat framework that connects agents to tools through MCP-compatible plugins.
Developer tool for inspecting and testing MCP servers; it connects to a server and lets you exercise its tools, resources and prompts.
Browser extension that brings MCP tools to web chat interfaces such as ChatGPT, Gemini, Grok, DeepSeek and Perplexity.
Python framework for building agents with the Model Context Protocol using composable patterns; any MCP server connects without custom adapters.
Command-line interface for interacting with Model Context Protocol servers, with chat and interactive modes across LLM providers.
Emacs client for the Model Context Protocol that connects to MCP servers and exposes their tools to Emacs LLM packages.
MCP client for Neovim that integrates MCP servers into the editing workflow and exposes them to chat plugins such as CodeCompanion and Avante.
Open-source testing and evaluation platform for MCP server developers; connects to and chats with multiple MCP servers using frontier models.
Microsoft's low-code platform for building agents. Agents can be extended with tools and resources by connecting to MCP servers.
Mistral's open-source CLI coding assistant. MCP (Model Context Protocol) servers can be configured to extend Vibe's capabilities.
Desktop application for local and cloud models with MCP tool integration.
Lightweight, cross-platform AI chat assistant for web and desktop that supports multiple model providers and includes MCP support.
Open-source AI platform with chat and agents that work with any LLM; Actions and MCP let agents interact with external applications.
Self-hosted AI chat interface that connects to MCP servers through its tool system.
Open-source personal AI agent that works across messaging platforms; it connects to MCP servers and makes their tools available to agents.
Open source terminal coding agent with provider choice and MCP server configuration.
Terminal client for LLMs with MCP server support, using an mcpServers config compatible with Claude Desktop and Cursor.
API platform whose MCP request type lets users connect to an MCP server of their choice and interact with its tools, resources and prompts.
Agentic coding IDE and CLI. Its capabilities are extended by connecting to external tools and services via MCP servers over stdio or HTTP.
Open-source AI coding agent that runs in the terminal, with memory, skills, subagents and MCP server support for external tools.
Launcher for macOS and Windows whose AI features connect to MCP servers.
Atlassian's AI coding agent for the CLI and IDE. It connects to the Atlassian MCP server and can connect to third-party MCP servers as well.
AI email client. It supports MCP so users can integrate external tools and services with the Shortwave AI Assistant.
Barebones library for agents that think in code; agents can use tools from any MCP server via ToolCollection.from_mcp.
Spring framework for AI applications. Its MCP Client Boot Starter auto-configures MCP client functionality over STDIO, SSE and Streamable HTTP.
Model-driven SDK for building AI agents in a few lines of code, with MCP, streaming and multi-agent patterns built in.
AI code assistant for enterprise teams. Tabnine Agent connects to MCP servers configured through a JSON file in the .tabnine folder.
Open-source, vendor-neutral IDE from the Eclipse Foundation with built-in AI features; its MCP integration lets users configure, start and use MCP servers.
AI IDE from ByteDance with agents that use MCP servers for tools and context.
Chat frontend for AI models that connects MCP servers to any LLM through its MCP Connector.
Platform for building AI voice assistants. Its MCP integration lets a Vapi assistant dynamically access tools from MCP servers during calls.
Microsoft's IDE for Windows. GitHub Copilot agent mode in Visual Studio connects to MCP servers configured in mcp.json to use external tools.
Code editor with agent chat that can discover and invoke tools supplied by configured MCP servers.
Open-source TypeScript AI agent framework; connects to Model Context Protocol servers without extra glue code.
Agentic terminal whose built-in agents can call tools from configured MCP servers.
AI-native code editor whose Cascade agent connects to MCP servers for tools and context.
Desktop AI assistant described as a universal MCP client; it runs MCP servers with virtually any LLM.
Collaborative code editor with agents and support for adding MCP servers through extensions or direct configuration.
AI coding agent for IDEs. Its agents connect to Jira, GitHub, Slack and any custom MCP endpoint directly from the IDE.