"A service for obtaining historical cryptocurrency market data for meme coins" matching MCP servers:

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

Provides real-time market data tools (quotes, news, earnings calendar, watchlist scanner, and composite analysis) for AI agents via Finnhub, with optional Alpaca broker integration and graceful degradation.

Exposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.

Enables fetching market and options data including OHLCV prices, option chains, Greeks, and corporate events through a pluggable FastAPI service. Supports creating aligned training datasets for financial analysis and uses yfinance by default with support for custom data providers.

Enables searching and retrieving historical records from the Library of Congress, including newspapers, photos, maps, manuscripts, audio, and film, via the Model Context Protocol.

MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Provides a one-call snapshot of recent market activity and events.

Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.

A specialized MCP server that provides institutional-grade financial data and market research via the Finnhub API. It enables AI agents to function as equity researchers, generating professional market reports and high-fidelity analysis for stock tickers.

Provides stock market data and analysis tools using the Finnhub API, including stock prices, financial metrics, news, and historical data.

MCP server providing agricultural market intelligence tools (price, margin, trend, report generation) that can be used by any MCP client to answer multi-step queries about commodity markets.

Recession probability, capital rotation, macro cascade analysis, and real-time economic data for Claude, ChatGPT, Cursor, and any MCP client.

Exposes four CMS public datasets as callable tools in Claude conversations, enabling natural-language real-world evidence analytics without SQL expertise.

A financial data MCP server providing stock, fund, macroeconomic, and news queries through Tushare and Baidu News.

Comprehensive MCP server for Indian stock market with 60 tools covering NSE/BSE, derivatives, mutual funds, technicals, and more, requiring no API keys. Enables users to access live market data, analyze indicators, and manage investments through natural language.

A comprehensive MCP server for the Indian stock market, providing 68 tools for stocks, derivatives, mutual funds, commodities, and more without any API keys.

Provides access to worldwide labor market data including unemployment, wages, and employment statistics from BLS (US) and Eurostat (EU). Offers tools for comparing countries and sectors, and retrieving occupation outlooks.