Getting Started with Remote MCP Servers using Azure Functions (Python)

Generate production-ready Python and AI stacks by combining frameworks, data engines, tooling, and cloud deployment.

PydanticRPC is a Python library for rapidly exposing Pydantic models as gRPC, ConnectRPC, and MCP services without protobuf files.

🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

Build effective agents using Model Context Protocol and simple workflow patterns

AI agent microservice

Portable , scalable , secure AI Agents

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.

AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨

MCP Server Framework and Tool Development library for building custom capabilities into agents.

C++ MCP SDK - build Model Context Protocol (MCP) servers and clients in C++ / CPP. Enterprise-grade security, observability, connectivity. Stdio, HTTP+SSE, Streamable HTTP, WebSocket, TCP transports. Bindings for Python, TypeScript, Go, Rust, Java, C#.

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

run a fleet of AI agents on your own Kubernetes

AtlasClaw is an enterprise agent framework supporting mutliple users and multi system integration.

Build and run agents you can see, understand and trust.

Multi-Agent Harness for Production AI

Open source version of Claude Managed Agents. Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent.

Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.

Agent-ready RPA suite with out-of-the-box automation tools. Built for individuals and enterprises.

A modern, container-friendly, optionally-distributed, fault-tolerant, highly available, leader-electing, highly configurable, precompiled, multi-architecture, portable, security-hardened, production-ready cron replacement

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available.