Project Overview
About
Project Overview combines MCP (Model Context Protocol) servers with OpenAI agents, enabling automated research and file system tasks. It is intended for developers who want to run configurable, multi-server AI agents from the command line.
Explore
- Integrates multiple MCP servers (fs, lynx, puppeteer, github)
- Command-line agent with configurable server selection
- Debug mode to verify server configuration
- Supports custom MCP servers in mcp-servers directory
- Environment setup via automated shell script
- Server configuration via YAML file
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Project OverviewCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
The servers are configured in servers.yaml, where each server entry includes:
- Name: Identifier for the server.
- Description: Brief description of the server's functionality.
- Command & Arguments: Command-line instructions to start the server.
- Environment Variables: Any additional environment configurations needed.
You'll typically find these in github repos for MCP servers
1. Create and Activate a Virtual Environment:
- Run the provided setup.sh script to establish a virtual environment using Python 3.13.
./setup.sh
- The script creates a virtual environment and installs all required Python packages from
requirements.txt.
2. Install Project Dependencies:
- Ensure you have the necessary external tools and services for the MCP servers you intend to run:
- Lynx: Required for the lynx server, which interfaces with the Lynx terminal web search tool.
- Docker: Required for the puppeteer and github servers, enabling Chrome control and GitHub interactions, respectively.
- Node.js: Required for the fs server, using the npx command.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"project overview": {
"easy-mcp": {
"command": "python",
"args": [
"agent.py"
]
}
}
}
}McpServers
{
"easy-mcp": {
"command": "python",
"args": [
"agent.py"
]
}
}MCP servers + OpenAI agents.
Setting up the Environment
1. Create and Activate a Virtual Environment:
- Run the provided setup.sh script to establish a virtual environment using Python 3.13.
./setup.sh
- The script creates a virtual environment and installs all required Python packages from
requirements.txt.
2. Install Project Dependencies:
- Ensure you have the necessary external tools and services for the MCP servers you intend to run:
- Lynx: Required for the lynx server, which interfaces with the Lynx terminal web search tool.
- Docker: Required for the puppeteer and github servers, enabling Chrome control and GitHub interactions, respectively.
- Node.js: Required for the fs server, using the npx command.
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