activepieces and AI-Gateway
One project provides a scalable, open-source AI workflow automation platform using AI agents and MCP servers, which could potentially be managed or integrated by the other project's AI Gateway solution that explores and orchestrates AI models, MCP servers, and agents via Azure API Management and Microsoft Foundry.
About activepieces
activepieces/activepieces
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Pieces are TypeScript npm packages with hot-reload support for local development, automatically published to npmjs and exposed as MCP servers for LLM integration in Claude Desktop, Cursor, and Windsurf. The platform combines a visual no-code builder with programmatic extensibility, supporting flow control (loops, branches, retries), human-in-the-loop approval workflows, and native AI pieces for agent building. Self-hosted architecture provides network isolation and full data control while maintaining enterprise customization options.
About AI-Gateway
Azure-Samples/AI-Gateway
Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀
Provides 30+ hands-on labs with Jupyter notebooks and Bicep templates for implementing enterprise AI patterns—semantic caching, token rate limiting, multi-model load balancing, and MCP protocol integration. Built on Azure API Management's GenAI Gateway, it centralizes security (OAuth, content filtering), observability (token metrics, tracing), and cost controls across models, tools, and agentic frameworks like OpenAI Agents and Gemini. Includes AI-assisted development skills via Copilot to scaffold new labs and APIM policies programmatically.
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