What is Ai Agent Directory

ai-agent-directory is an open-source project directory focused on AI agents and MCP orchestration tools, providing a comprehensive resource for developers and researchers in the AI field.

Use cases

Use cases include developers searching for AI agent repositories, researchers exploring MCP orchestration tools, and educators utilizing the directory for teaching AI concepts.

How to use

To use ai-agent-directory, clone the repository from GitHub, install the necessary dependencies using npm, and start the development server. Users can also set up Firebase for authentication and search history management.

Key features

Key features include browsing and searching for AI agent and MCP repositories, bulk importing repositories from GitHub, Google user authentication, and saving search history for registered users.

Where to use

ai-agent-directory can be used in various fields such as AI development, research, and education, particularly for those interested in AI agents and orchestration tools.

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