Welcome to Agent MCP
A directory of AI Agents and MCP Orchestration open source tools
What is Agent MCP?
Agent MCP 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.
How to use Agent MCP?
To use Agent MCP, you can clone the repository from GitHub, edit the code using your preferred IDE, or directly edit files in GitHub. Follow the provided instructions to set up the development environment and start contributing.
Key features of Agent MCP?
- A curated directory of AI agents and orchestration tools.
- Support for local development with Node.js and npm.
- Easy editing options through GitHub or Codespaces.
Use cases of Agent MCP?
- Developing and deploying AI agents for various applications.
- Orchestrating multiple AI agents for complex workflows.
- Contributing to open-source AI projects and tools.
FAQ from Agent MCP?
- What technologies are used in this project?
The project is built with Vite, TypeScript, React, shadcn-ui, and Tailwind CSS.
- Is there a guide for setting up the project?
Yes! Detailed instructions are provided in the project documentation for cloning the repository and setting up the development environment.
- Can I contribute to this project?
Absolutely! Contributions are welcome, and you can edit the code directly on GitHub or through your local IDE.
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:
- Create a Firebase project at Firebase Console
- Enable Google Authentication in the Authentication section
- Create a Firestore database in the Firestore section
- Get your Firebase configuration from Project Settings > General > Your Apps > SDK setup and configuration
- Copy the
.env.examplefile to.env.localand 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
