Maiar, the up-and-coming AI agentic framework, has unveiled an integration with Anthropic’s Modal Context Protocol (MCP), delivering real-time event-based automation for agents built within its ecosystem.

Maiar ($MAIAR) is an open source framework for building multimodal AI agents with custom plugins.

The MCP standard offers a unified way for large language models (LLMs) to interface with external tools and datasets, but it lacks orchestration logic—something developers historically had to build themselves. Maiar’s new plug-in solves this gap by enabling agents to act on real-world triggers automatically.

According to PBit, Maiar’s lead developer, the integration works through two components: “executors,” which perform specific tasks, and “triggers,” which activate those executors in response to external events—such as a GitHub issue being posted or a new Discord message arriving.

This allows developers to deploy highly responsive agents that can monitor systems, summarize updates, post outputs, or even coordinate workflows—without any manual input. In one example, an agent was configured to listen for GitHub issues, summarize them, and immediately publish that summary to Discord via webhook.

“MCP tools become just one more type of executor in the MAIAR framework. MAIAR agents can now use those tools in response to real-world triggers.”

The release accompanies Maiar’s broader version 0.23.0 update, which also includes support for GPT-4.1, improved memory handling, and autonomous code execution via a new Codex CLI plug-in. This plug-in gives Maiar agents terminal-level access, allowing them to write, refactor, and run code directly—without needing a user to touch the keyboard.

MAIAR v Major Enterprises

Unlike many enterprise solutions from hyperscalers like AWS or Google Cloud, Maiar’s framework remains lightweight. It achieves automation through polling and webhooks instead of energy and compute-hungry LLMs which, although technically vastly more powerful for the firms building them, are closed-source.

With this latest update, Maiar is attempting to carve a niche as a flexible, open AI agent framework capable of delivering real-world, real-time utility—without the heavy infrastructure costs typically associated with enterprise AI.