by AgentlyHQ · MCP Server · ★ 81
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Nextjs-like framework for bundling AI agents into deployable services with A2A, MCP, x402 payments, and ERC-8004 identity. Documentation · Quick Start · How It Works · Examples · CLI · Protocols <img src="https://img.shields.io/npm/l/aixyz?colorA=f6f8fa&colorB=f6f8
| Stars | 81 |
| Forks | 7 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 35.25/100 |
| Open Issues | 29 |
| Last Updated | 2026-04-06 |
| Created | 2026-01-13 |
| Platforms | mcp, node |
| Est. Tokens | ~384k |
Looking for a aixyz alternative? If you're comparing aixyz with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Context-Engine MCP - Agentic Context Compression Suite
Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Fr
DeepContext is an MCP server that adds symbol-aware semantic search to Claude Code, Codex CLI, and other agent
🤖 Taskade MCP · Official MCP server and OpenAPI to MCP codegen. Build AI agent tools from any OpenAPI API and
Azan + Prayer Time + MCP + AI Agents + Islamic + Salah + A lightweight MCP library to calculate prayer times a
Client SDK, Claude plugin and skill framework for the Pinion protocol. x402 micropayments on Base.
Explore other popular mcp server tools:
aixyz is Next.js-like framework building AI Agents that are payment-native. Bootstrap your agent with A2A, MCP, x402 payments, and ERC-8004 identity.. It is categorized as a MCP Server with 81 GitHub stars.
aixyz is primarily written in TypeScript. It covers topics such as ai, ai-agents, mcp.
You can find installation instructions and usage details in the aixyz GitHub repository at github.com/AgentlyHQ/aixyz. The project has 81 stars and 7 forks, indicating an active community.
The top alternatives to aixyz on Agent Skills Hub include Context-Engine, daymon, deepcontext-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.