of validating your MCP server. Whether you're a developer or a tester, this tool saves time and makes testing more intuitive. ---27:T4dc,## What is MCP Server Tester? MCP Server Tester is a lightweight web tool designed to test and validate MCP server installation codes, ensuring that the server setup is functional. ## How to use MCP Server Tester? To use MCP Server Tester, clone the repository, install the dependencies, run the server, and access the app through your browser at http://localhost:5000. ## Key features of MCP Server Tester? - Simple form to enter and test installation codes - Clear success/failure messages with formatted responses - Fully responsive layout for desktop and mobile - Semantic and accessible UI with clean code structure - Clean MVC architecture (Controllers, Routes, Views) ## Use cases of MCP Server Tester? 1. Testing MCP server installation codes 2. Validating API responses from an MCP server 3. Debugging server setup during development 4. Ensuring MCP server connectivity before production ## FAQ from MCP Server Tester? - Can I use MCP Server Tester for any MCP server? > Yes! It is designed to work with any MCP server installation code. - Is MCP Server Tester free to use? > Yes! It is open-source and free for everyone. - What technologies are used in MCP Server Tester? > It is built with Node.js, Express, and EJS.28:T980,

🤖 AI Agents with MCP Server

--- ## 🚀 Overview 🧠 **What Is This Project?** This project is 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. It supports: - Chat interaction using AI models like Google Gemini and OpenAI. - Task execution such as arithmetic operations or social media posting. - Integration of external tools through the **Model Context Protocol (MCP)**. 🛠️ **How Does It Work?** 1. **Start the Server**: Initializes and runs available tools/plugins. 2. **Interact via Client**: Use a chat interface to send commands. 3. **AI Processes Input**: Leverages AI models to generate responses and trigger plugins when needed. --- ## 🧩 Key Features - **🧱 Modular Agent System** — Plug-and-play agents using MCP SDK & Zod for schema validation - **⚡ Real-Time Data Flow** — Multi-channel input → AI inference → output pipeline - **🔌 Extensible Architecture** — Agent plugins, channel connectors, and utility modules --- ## ⚙️ Tech Stack | Layer | Technology | | -------------- | ------------------------ | | **Runtime** | Node.js v16+ | | **Server** | Express v5 + WebSocket | | **AI/ML** | OpenAI API, Google GenAI | | **Validation** | Zod | | **Messaging** | MCP SDK v1.8.0 | | **Env** | dotenv | --- ## 📦 Installation Clone the repository: ```bash git clone https://github.com/MuhammadTanveerAbbas/MCP-Server.git cd ai-agents-mcp-server ``` Install dependencies: ```bash npm install ``` Run the server: ```bash npm start ``` --- ## 📄 License This project is licensed under the [MIT License](LICENSE).29:T5ba,## What is MCP Server? MCP Server is a platform that implements AI-powered agents capable of interacting with a Multi-Channel Processing (MCP) server to perform intelligent tasks, data processing, and automation across various input channels. ## How to use MCP Ser

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Simple MCP Client with LangGraph Agent

🚀 MCP Server Tester

🤖 AI Agents with MCP Server