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Welcome to Agent MCP

Welcome to Agent MCP

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agentmcp.aiAI & Agents10Updated 83w ago
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About Welcome to Agent MCP

Welcome to Agent MCP is an open source directory focused on AI agents and MCP orchestration tools. It lets users browse and search repositories, import them from GitHub, and revisit saved search history.

Key features

  1. 01Browse and search agent and MCP repositories
  2. 02Bulk import repositories from GitHub
  3. 03Google user authentication
  4. 04Save registered users’ search history
  5. 05View and re-import previous searches

Use cases

  1. 01Finding AI agent and MCP projects
  2. 02Importing multiple repositories from GitHub
  3. 03Returning to saved searches

MCP support

The directory focuses on AI agents and MCP orchestration tools; the input does not describe an MCP server interface.

#agent#engineering#ai#open#mcp#llm#mcp-server

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

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

Comments

Markdown supported

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.