"Cryptocurrency Price Information" matching MCP servers:

A cryptocurrency price service that provides real-time crypto pricing information through an MCP (Model Context Protocol) framework with CoinMarketCap API integration.

A tutorial implementation MCP server that enables analysis of CSV and Parquet files. Allows users to summarize data and query file information through natural language interactions.

A Model Context Protocol (MCP) server that provides comprehensive cryptocurrency analysis using the CoinCap API. This server offers real-time price data, market analysis, and historical trends through an easy-to-use interface. Updated to use Coin Cap API v3

A Model Context Protocol server that allows interaction with the RubyGems.org API to fetch metadata about Ruby packages, search gems, and explore dependencies and ownership information.

An MCP server that integrates with Hunter.io API to find and verify email addresses using domain and name information.

The Token Metrics Model Context Protocol (MCP) server provides comprehensive cryptocurrency data, analytics, and insights through function calling. This server enables AI assistants and agents to access Token Metrics' powerful API for real-time crypto market data, trading signals, price predictions, and advanced analytics.

A multi-market stock data server providing financial information, historical price data, and macroeconomic indicators for A-share, Hong Kong, and US markets. It leverages a hybrid data source model to enable comprehensive stock analysis and market reporting through MCP-compatible clients.

Provides real-time stock information for Chinese A-shares and US stocks using the Xueqiu API. Enables users to fetch comprehensive market data including current price, percentage changes, volume, and other key metrics by stock code.

Exposes various Marketstack API endpoints as MCP tools, providing access to financial market data including EOD, intraday, splits, dividends, tickers, exchanges, and other financial information.

Read-only MCP tools for TROCCO API, enabling workflow and BigQuery datamart audit information retrieval.

Provides access to Tastytrade historical price data via the Model Context Protocol. It enables users to retrieve historical candle data for specific financial symbols and time intervals.

A Python MCP server that retrieves requirements and bug data from TAPD platform to provide AI clients with project management information.

A Model Context Protocol server that provides real-time Bitcoin blockchain and mempool data to AI clients, allowing access to comprehensive Bitcoin network information through various data tools.

A Model Context Protocol server that enables working with Building Information Modeling (BIM) files by converting IFC files to fragment format and querying BIM data by category.

A Model Context Protocol implementation for the CoinMarketCap API that provides standardized access to cryptocurrency market data, exchange information, and blockchain metrics.

A Model Context Protocol server enabling product searches across e-commerce platforms, price history tracking, and product specification-based searches using natural language prompts.

Enables interaction with the Bitso cryptocurrency exchange API to access withdrawals and fundings data. Provides comprehensive tools for listing, filtering, and retrieving withdrawal and funding transactions with proper authentication and error handling.

Enables Claude to search, retrieve, and analyze indexed files with sensitivity classifications and automatic redaction of sensitive information.

Enables AI agents to retrieve real-time stock data, manage watchlists, and perform comprehensive technical analysis using Yahoo Finance API. Provides 18+ tools for stock price tracking, trend analysis, volatility assessment, and financial indicators through MCP integration.

Provides read-only access to MetaTrader 5 market data, trading history, and technical analysis through Python execution. Supports querying price data, calculating indicators, creating charts, and generating forecasts with Prophet and ML models.