mcpField
πŸ€–
πŸ€– YETR AI Agent - Your Enhanced Task Runner

πŸ€– YETR AI Agent - Your Enhanced Task Runner

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github.com/yethikrishnaAI & Agents1Updated 14w ago

About πŸ€– YETR AI Agent - Your Enhanced Task Runner

YETR AI Agent is a web-based MCP task runner for automating complex, multi-step tasks. It combines task planning, tool use, and context management in an interface for running and monitoring agent workflows.

Key features

  1. 01Multi-step task orchestration
  2. 02Task planning
  3. 03Code, web, file, and API tools
  4. 04Conversation and task context
  5. 05Extensible tools and skills

Use cases

  1. 01Automating multi-step tasks
  2. 02Searching the web and reading files
  3. 03Chaining AI calls across a workflow

MCP support

It is an MCP-based agent designed for standardized tool use. The README describes the agent but does not specify which MCP servers it connects to.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Yetr AI Agent

Enhanced MCP Task Runner Agent

Next.js React TypeScript MCP Agent Tailwind

Yetr AI Agent is an enhanced Model Context Protocol (MCP) task runner agent built with Next.js 14, React, and Tailwind CSS, designed for intelligent task automation, tool use, and AI agent workflows.


Overview

yetr-ai-agent is a powerful AI agent built on the Model Context Protocol (MCP), designed as an enhanced task runner for complex AI workflows. Built with Next.js 14 App Router, React 18, and Tailwind CSS, it provides a modern web interface for running, managing, and monitoring AI agent tasks with multi-platform deployment support.

Features

  • MCP-Compliant Agent - Built on the Model Context Protocol for standardized AI tool use
  • Enhanced Task Runner - Execute complex, multi-step AI tasks with intelligent orchestration
  • Next.js 14 App Router - Modern React Server Components architecture
  • Multi-Platform Deployment - Vercel, Netlify, GitHub Pages, and Docker support
  • SEO Optimized - Built-in sitemap.xml, robots.txt, and custom domain support
  • Beautiful UI - Tailwind CSS with Heroicons for a clean, responsive interface
  • Type-Safe - Full TypeScript coverage
  • Custom Domain Ready - CNAME file included for custom domain configuration
  • Docker Support - docker-compose.yml for containerized deployment

Tech Stack

LayerTechnology
FrameworkNext.js 14 (App Router)
UIReact 18
StylingTailwind CSS 3
IconsHeroicons React
LanguageTypeScript
Utilitiesclsx for className composition
DeploymentVercel / Netlify / GitHub Pages / Docker

Quick Start

# Clone the repository
git clone https://github.com/yethikrishna/yetr-ai-agent.git
cd yetr-ai-agent

# Install dependencies
npm install

# Set up environment
cp .env.example .env.local
# Configure your AI model API keys and MCP settings

# Start development server
npm run dev

# Build for production
npm run build

# Start production server
npm start

Deployment

Vercel (Recommended)
# One-click deployment via Vercel CLI or connect your repo
vercel deploy
Netlify

See netlify.toml for build configuration. The project includes .netlifyignore for optimized builds.

GitHub Pages

See GITHUB_PAGES_SETUP.md for instructions. The project includes _config.yml for Jekyll compatibility.

Docker
docker-compose up -d

Project Structure

yetr-ai-agent/
β”œβ”€β”€ src/                  # Next.js source (App Router)
β”œβ”€β”€ frontend/             # Frontend-specific assets
β”œβ”€β”€ public/               # Static assets (robots.txt, sitemap.xml)
β”œβ”€β”€ package.json
β”œβ”€β”€ next.config.js        # Next.js configuration
β”œβ”€β”€ tailwind.config.js
β”œβ”€β”€ tsconfig.json
β”œβ”€β”€ postcss.config.js
β”œβ”€β”€ next-env.d.ts
β”œβ”€β”€ docker-compose.yml
β”œβ”€β”€ netlify.toml
β”œβ”€β”€ vercel.json
β”œβ”€β”€ CNAME                 # Custom domain config
β”œβ”€β”€ sitemap.xml
β”œβ”€β”€ robots.txt
β”œβ”€β”€ DEPLOYMENT.md
└── GITHUB_PAGES_SETUP.md

Agent Capabilities

  • Tool Use - Execute code, search the web, read files, and interact with APIs
  • Task Planning - Break down complex goals into executable steps
  • Context Management - Maintain conversation and task context across interactions
  • Multi-Step Reasoning - Chain together multiple AI calls for complex workflows
  • Extensible - Easy to add new tools, skills, and capabilities

Contributing

Contributions to enhance the agent's capabilities are welcome! Please feel free to submit issues or pull requests.

License

This project is licensed under the terms specified in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.