Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
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Updated
Oct 23, 2025 - TypeScript
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
mcp-use is the easiest way to interact with mcp servers with custom agents
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
🐬DeepChat - A smart assistant that connects powerful AI to your personal world
Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale
A framework helps you quickly build AI Native IDE products. MCP Client, supports Model Context Protocol (MCP) tools via MCP server.
AI agent microservice
5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .
小智ESP32的Java企业级管理平台,提供设备监控、音色定制、角色切换和对话记录管理的前后端及服务端一体化解决方案
Just a Better Chatbot. Powered by Agent & MCP & Workflows.
A minimalistic MCP client with a good feature set.
A CLI tool for building Go applications.
ChatMCP is an AI chat client implementing the Model Context Protocol (MCP).
UltraRAG 2.0: Less Code, Lower Barrier, Faster Deployment! MCP-based low-code RAG framework, enabling researchers to build complex pipelines to creative innovation.
Witsy: desktop AI assistant / universal MCP client
Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨
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