LumiFAI MCP Technical Analysis Server

LumiFAI MCP Technical Analysis Server

Provides technical analysis tools for cryptocurrency trading data, calculating EMAs (12 and 26 periods) for Binance pairs using MongoDB for data storage.

Category
Visit Server

README

LumiFAI MCP Technical Analysis Server

A FastMCP server that provides technical analysis tools for cryptocurrency trading data, specifically focusing on Exponential Moving Average (EMA) calculations for Binance pairs. The server defaults to SSE transport layer for communication.

Features

  • Calculate EMAs (12 and 26 periods) for cryptocurrency price data
  • Real-time date and time information
  • MongoDB integration for data storage and retrieval (Fetches data from DB resource which contains OHLCV data)
  • SSE (Server-Sent Events) transport support

Prerequisites

  • Python 3.13 or higher
  • MongoDB instance
  • uv package manager

Installation

  1. Clone the repository:
git clone <repository-url>
cd lumifai-mcp-ta
  1. Create and activate a virtual environment and install dependencies:
uv sync
  1. Set up environment variables: Create a .env file in the root directory with the following content:
MONGODB_URI=your_mongodb_connection_string

Usage

Run the server:

uv run mcp-server.py

Available Tools

  1. get_emas(agent_name: str, time_ago: str, interval: int, interval_frequency: str)

    • Calculates EMAs for specified cryptocurrency trading pairs
    • Returns a DataFrame with fast (12-period) and slow (26-period) EMAs
  2. get_date_time()

    • Returns the current date and time

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured