EAIM MCP Server

@OmarNaguib

Basic information

About EAIM MCP Server

MCP server for EAIM Technologies API integration with FastAPI and Socket.IO

EAIM MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "eaim-mcp-server": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

EAIM MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is EAIM MCP Server?

A Model Context Protocol (MCP) server that integrates with the EAIM Technologies API to provide tools and resources for querying social media analytics data through natural language processing. It uses Socket.IO for real‑time communication and is intended for developers who need programmatic access to EAIM’s analytics dashboards and visualizations.

How to use EAIM MCP Server?

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.

Key features of EAIM MCP Server

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

Use cases of EAIM MCP Server

Query social media engagement metrics using natural language (e.g., “Show me the engagement of Vodafone EG over the last month”)
Retrieve data for a specific visualization from an EAIM dashboard
List available dashboards and their visualizations via MCP resources
Build real‑time analytics dashboards by listening to Socket.IO events
Automate reporting workflows by integrating the MCP tools into LLM clients

Frequently asked questions

What are the prerequisites for running the server?

Python 3.8 or higher and `pip` are required. Dependencies are installed via `pip install -r requirements.txt`.

How can I run the server with Docker?

Build the image with `docker build -t eaim-mcp-server .` and run the container with `docker run -p 8000:8000 eaim-mcp-server`.

Which Socket.IO events are available?

Clients can emit a `query_data` event with a natural language query. The server emits `status`, `data`, and `error` events in response.

What MCP tools does the server provide?

Two tools: `get_visualization_data` (requires dashboard_id, visualization_id, brand, period) and `query_natural_language` (requires a query string). Both are accessible via the `/mcp` endpoint.

What MCP resources are available?

The `available_dashboards` resource lists all dashboards, and `available_visualizations` (requires dashboard_id) lists visualizations for a specific dashboard.

Comments

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