EAIM MCP Server
About
MCP server for EAIM Technologies API integration with FastAPI and Socket.IO
Details
- Author
- OmarNaguib
- Downloads
- 125
- Categories
- Developer Tools
Jump to
- Socket.IO integration for real‑time communication
- Natural language query processing against EAIM API
- MCP tools for retrieving dashboard and visualization data
- Dashboard and visualization metadata resources
- REST‑style endpoints for server status and MCP interactions
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
EAIM MCP ServerCommand (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
Install dependencies with pip install -r requirements.txt, then run python main.py to start the server on http://localhost:8000. Alternatively, build and run the Docker image with docker build -t eaim-mcp-server . and docker run -p 8000:8000 eaim-mcp-server. The server exposes a Socket.IO endpoint at /socket.io and an MCP endpoint at /mcp.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"eaim mcp server": {
"eaim-mcp-server": {
"command": "python",
"args": [
"main.py"
]
}
}
}
}
McpServers
{
"eaim-mcp-server": {
"command": "python",
"args": [
"main.py"
]
}
}
EAIM MCP Server
A Model Context Protocol (MCP) server for integrating with EAIM Technologies API. This server provides tools and resources for querying social media analytics data through natural language processing.
Features
- Socket.IO integration for real-time communication
- Natural language query processing
- MCP tools for accessing EAIM API data
- Dashboard and visualization metadata
Prerequisites
- Python 3.8+
- pip
Installation
1. Clone the repository:
git clone https://github.com/OmarNaguib/eaim-mcp-server.git
cd eaim-mcp-server
2. Install dependencies:
pip install -r requirements.txt
Usage
Running the server
python main.py
The server will start on http://localhost:8000
Docker
To build and run using Docker:
```bash
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