KiboUP – Deploy AI Agents via HTTP, A2A, and MCP with One Codebase
Multi-protocol agent deployment, but MCP and orchestration are solved by Anthropic, LangChain.

One PHP process handles web, API, and AI agents via MCP—no nginx, no reverse proxy needed.
Full-stack developers running personal/small projects, indie hackers, AI agent builders needing tool exposure
Node.js event-loop architectures · Caddy reverse proxy · MCP server frameworks
Multi-protocol agent deployment, but MCP and orchestration are solved by Anthropic, LangChain.
It makes a smart, practical bet: let existing Python functions become agent-ready tools by turning type hints into structured tool schemas with validation and HTTP endpoints, so you don't rewrite logic to expose it to agents. The included PolyClaw agent and discovery/orchestration features sound useful for multi-service workflows, but the space is crowded (LangChain/AutoGPT/etc.), so what matters next is demos showing robust orchestration, failure handling, and provider integrations.
Structured decision records beat static .cursorrules files for maintaining team consistency.
MCP-based chat room lets multiple Claude Code sessions share context without copy-pasting.
Content negotiation serves raw Markdown to agents, skipping the reconversion tax entirely.
Leverages 1999 HTTP headers to solve the AI scraping problem elegantly.