MCP Clients

open-multi-agent-canvas

CopilotKit374

Manage multiple AI agents in one dynamic, collaborative multi-agent chat interface.

Coordinate multiple AI agents for complex research tasks

Manage travel planning with specialized multi-agent workflows

metatool-app

metatool-ai357

Unified MCP client managing multiple MCP servers with GUI and multi-workspace support.

Manage multiple MCP server integrations via a single GUI app

Switch between multiple workspaces to isolate MCP contexts

copilot-mcp

VikashLoomba349

VSCode extension enabling Copilot to access MCP tools and resources seamlessly.

Enable Copilot to access MCP servers and tools within VSCode

Integrate real-time context from MCP servers into coding sessions

Rodel.Agent

Richasy338

Rodel.Agent is a Windows desktop client integrating chat, text-to-speech, image generation, and translation with mainstream AI services and MCP plugins for a seamless AI experience.

Integrate chat with multiple AI service providers

Generate images from text prompts on desktop

claude-debugs-for-you

jasonjmcghee315

Interactive LLM client enabling multi-language debugging via VS Code and MCP.

Interactively debug code using LLMs within VS Code

Evaluate expressions during debugging sessions via LLM

wren-engine

Canner314

Wren Engine: A powerful semantic client for MCP, enabling intelligent AI agent context management and interaction.

Manage semantic context for AI agents in real time

Orchestrate multi-step reasoning workflows with LLMs

amazon-bedrock-client-for-mac

aws-samples306

Native macOS client for Amazon Bedrock enabling seamless AI model access from your desktop.

Access Amazon Bedrock AI models from macOS desktop

Integrate AI model calls into macOS workflows

cline-chinese

HybridTalentComputing288

Chinese-localized autonomous programming assistant integrated into your IDE.

Create and edit code files directly within the IDE

Run terminal commands from natural language instructions

daan

pluveto264

Lightweight, minimalist LLM client with MCP and miniapp support.

Run and manage LLM interactions with minimal resource usage

Convert frequently used features into mini-apps for quick access

groq-desktop-beta

groq262

Cross-platform Groq Desktop chat client with MCP and function calling support.

Run local Groq-hosted LLMs with MCP function calling support

Interact with MCP servers for real-time context and tool usage

mcp.el

lizqwerscott262

Emacs client for MCP enabling structured, asynchronous interaction with MCP servers and seamless integration with Emacs tools.

Integrate MCP servers into Emacs workflows

Manage MCP server lifecycle within Emacs

edumcp

aieducations252

Client protocol enabling seamless AI interoperability in education applications.

Integrate AI tutoring systems with interactive educational games

Enable data sharing between virtual labs and story generation models

wingman-ai

RussellCanfield227

Wingman AI: Open-source VSCode AI coding assistant integrating Ollama, HuggingFace, OpenAI, and Anthropic for smart, agentic code generation and editing.

Generate code snippets from natural language prompts

Edit and refactor code based on highlighted text

chat-mcp

AI-QL194

Cross-platform desktop chat client leveraging MCP to interface seamlessly with multiple LLMs for efficient AI interaction and testing.

Test multiple MCP servers and LLMs efficiently

Develop and debug MCP-based AI chat workflows

multimodal-mcp-client

Ejb503171

Multimodal MCP client enabling voice-powered, natural language AI workflows with multimodal input support.

Enable voice-controlled AI workflows

Integrate multimodal inputs for AI interaction