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.

activepieces
71
Verified
AI-Gateway
68
Established
Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 23/25
Maintenance 17/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 21,174
Forks: 3,401
Downloads:
Commits (30d): 362
Language: TypeScript
License:
Stars: 883
Forks: 397
Downloads:
Commits (30d): 13
Language: Jupyter Notebook
License: MIT
No Package No Dependents
No Package No Dependents

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

This tool helps automate repetitive tasks by connecting various apps and services. You provide inputs from one application, and it performs actions in another, like getting new form submissions and adding them to a spreadsheet. It's designed for business users, marketers, HR managers, and anyone who wants to streamline their digital workflows without needing to code.

workflow-automation business-process-management application-integration task-automation productivity

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 🚀

This project provides hands-on labs to help you build and manage secure, reliable, and cost-effective AI applications. It shows you how to control access to different AI models, tools, and intelligent agents through a central gateway, ensuring enterprise-grade security, performance, and cost management. This is for AI solution architects, machine learning engineers, and platform engineers who need to deploy and oversee AI services in a production environment.

AI-application-management MLOps API-management AI-governance enterprise-AI-deployment

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