AI Agents with MCP Server

What is 🤖 AI Agents with MCP Server?

A production-grade, modular framework for deploying AI agents via a Multi-Channel Processing (MCP) server. It enables real-time inference, multi-source data ingestion, and automated workflows using a plugin-based architecture, integrating models like Google Gemini and OpenAI.

How to use 🤖 AI Agents with MCP Server?

Clone the repository, install dependencies with npm install, and start the server with npm start. Then use a chat interface to send commands; the AI processes input and can trigger plugins as needed.

Key features of 🤖 AI Agents with MCP Server

• 🧱 Modular Agent System – Plug-and-play agents using MCP SDK & Zod validation.
• ⚡ Real-Time Data Flow – Multi-channel input → AI inference → output pipeline.
• 🔌 Extensible Architecture – Agent plugins, channel connectors, and utility modules.
• Supports chat interaction with OpenAI and Google Gemini.
• Task execution such as arithmetic operations or social media posting.
• Integration of external tools via the Model Context Protocol (MCP).

Use cases of 🤖 AI Agents with MCP Server

• Deploy AI-powered chatbots that can call external tools or APIs.
• Automate workflows combining AI inference with plugin-based tasks.
• Build real-time data ingestion pipelines that use AI for processing.
• Create extensible multi-channel agent systems for production environments.