Welcome to Agent MCP: AI Collaboration & Orchestration

Key Features of Welcome to Agent MCP: AI Collaboration & Orchestration?

Technical highlights include:

• A type-safe architecture leveraging TypeScript and shadcn-ui components for consistent UI/UX
• Contextual search capabilities with persistent history tracking for authenticated users
• Multi-agent orchestration tools enabling workflow design across supported AI systems
• Modular deployment through Vite's optimized build system for both development and production

Use Cases of Welcome to Agent MCP: AI Collaboration & Orchestration?

Practical applications span:

• Research teams comparing agent performance across multiple frameworks
• Startup developers prototyping multi-agent systems without infrastructure setup
• Enterprise teams managing AI workflows through centralized repository governance

FAQ from Welcome to Agent MCP: AI Collaboration & Orchestration?

• Does this require Node.js? Yes, version management via nvm is recommended for dependency consistency.
• Can I extend authentication methods? Currently limited to Google OAuth, but community PRs are welcome for new providers.
• How is data secured? Firestore encryption and Firebase's IAM controls ensure access compliance with audit trails.

Welcome to Agent MCP

An open source project directory that solely focusses on ai agents. While we love huggingface we noticed it focussed on LLMs and datasets. Agent MCP focusses on AI Agents and MCP orchestration. update 16-3-2024: added support for CursorAI, Windsurf AI and Trey AI

Project info

URL : www.agentmcp.ai

How can I edit this code?

There are several ways of editing your application.

Use your preferred IDE

If you want to work locally using your own IDE, you can clone this repo and push changes. Pushed changes will also be reflected in Lovable.

The only requirement is having Node.js & npm installed - install with nvm

Follow these steps:

# Step 1: Clone the repository using the project's Git URL.
git clone <YOUR_GIT_URL>

# Step 2: Navigate to the project directory.
cd <YOUR_PROJECT_NAME>

# Step 3: Install the necessary dependencies.
npm i

# Step 4: Start the development server.
npm run dev

Firebase Authentication Setup

This project uses Firebase for authentication and storing user search history. To set up Firebase:

1. Create a Firebase project at Firebase Console
2. Enable Google Authentication in the Authentication section
3. Create a Firestore database in the Firestore section
4. Get your Firebase configuration from Project Settings > General > Your Apps > SDK setup and configuration
5. Copy the .env.example file to .env.local and fill in your Firebase configuration values

# Copy the example env file
cp .env.example .env.local

# Edit the .env.local file with your Firebase configuration

What technologies are used for this project?

This project is built with .

• Vite
• TypeScript
• React
• shadcn-ui
• Tailwind CSS

Features

• Browse and search for AI Agent and MCP repositories
• Bulk import repositories from GitHub
• User authentication with Google
• Save search history for registered users
• View and re-import previous searches