Browse and discover Model Context Protocol compatible clients.
Build Your Agent Team for Real-World AI Development - Workspace-first multi-agent coordination platform for AI development, with shared Specs, Kanban orchestration, and MCP/ACP/ A2A support across web and desktop.
Arcade Python SDK, CLI, and toolkits
AgentKit enables building multi-agent networks with deterministic routing and rich tooling via MCP, supporting TypeScript AI developers with fault-tolerant cloud deployment. It offers flexible routing, multiple model providers, and built-in tracing.
Simple, modular, and observable Go framework for backend applications.
A minimalistic MCP client with a good feature set.
A secure local sandbox to run LLM-generated code using Apple containers
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
Agent samples built using the Strands Agents SDK.
**Concise Descriptions (under 200 characters):** * **OpenMCP client: VS Code extension for MCP development. Streamlines workflow & enhances developer experience.** (100 characters) * **VS Code plugin
LangGraph-powered ReAct agent with Model Context Protocol (MCP) integration. A Streamlit web interface for dynamically configuring, deploying, and interacting with AI agents capable of accessing vario
Ollama MCP client: TUI for managing local LLMs. Multi-server, streaming, tool management, & full model config. Dev-focused.
**Option 1 (Focus on LLM client):** LLM desktop client leveraging MCP for easy access & use of Large Language Models. **Option 2 (Focus on MCP integration):** MCP-integrated desktop client simplify
Govern, Secure, and Optimize your AI Traffic. AI Gateway provides unified interface to all LLMs using OpenAI API format with a focus on performance and reliability. Built in Rust.
FLUJO is an open-source platform that unifies workflow orchestration, Model-Context-Protocol, and AI tool integration, providing a local interface for managing AI models, MCP servers, and complex workflows. It is powered by PocketFlowFramework.
This repository showcases a Universal Assistant built with LangGraph and Model Context Protocol (MCP), enabling seamless integration of language models with external data sources and tools through a multi-agent workflow.