"Using Stock Charts to Identify Stocks" matching MCP servers:

An MCP server that turns chart requests into permanent, hosted Image-Charts URLs, enabling agents to generate charts that render anywhere without client-side libraries.

An MCP server that tracks real-time data for major crypto-related stocks to help AI agents analyze blockchain investment opportunities.

Provides advanced charting widgets (uPlot time series, ECharts box plots and parallel coordinates) for Urano Desktop/Cloud via MCP tools that build uiSpec JSON for rendering.

Enables AI agents to execute stock trading operations with built-in risk controls and human approval workflows. Supports paper trading simulation, real brokerage integration (Alpaca, Tradier), backtesting, sentiment analysis, and portfolio management while maintaining strict separation between AI intelligence and trade execution.

An MCP server that enables AI assistants to programmatically create and manage flowcharts, ERDs, and swimlane diagrams. It provides tools for manipulating diagram structures, performing auto-layouts, and exporting to Mermaid or Markdown formats.

An MCP server that enables AI agents to query RevenueCat's subscription analytics API using natural language, retrieving metrics like MRR, churn, and revenue.

An MCP server that gives AI agents access to RevenueCat's Charts & Metrics API. Query MRR, churn, trial conversion, revenue, and 17 more subscription metrics directly from Claude, Cursor, or any MCP client.

A modern Python MCP server for rendering customizable charts (line, bar, pie, scatter, area, combined dashboards) with Plotly, supporting export to PNG, SVG, and base64, and terminal charts with ANSI output.

A Model Context Protocol server that generates lightweight ASCII charts directly in terminal environments, supporting line charts, bar charts, scatter plots, histograms, and sparklines without GUI dependencies.

Enables real-time and historical Indian stock market data retrieval, including prices, news, recommendations, and top gainers/losers.

Provides real-time market data for A-shares, Hong Kong, and US stocks using the Tencent Finance API. It enables users to manage stock positions and watchlists through an AI assistant.

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.

An MCP server providing stock market data and trading capabilities through multiple broker APIs including Robinhood and Schwab.

Provides live Hong Kong equity market data, including Hang Seng index levels and real-time HKEX quotes, plus name-to-code resolution for English and Chinese company names.

Enables AI assistants to access and analyze NOAA electronic navigational charts with S-57 format parsing, supporting coordinate-based chart discovery, navigation feature extraction, and maritime safety queries.

Enables keyless access to Taiwan equities data from TWSE and TPEx, including prices, valuations, monthly revenue, disclosures, margin balances, and dividend dates.

Enables querying European electricity generation, prices, and capacity data from Fraunhofer ISE's Energy-Charts platform.

Provides real-time stock data, news, company fundamentals, and technical indicators for AI assistants via the Model Context Protocol.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

A read-only MCP server skeleton for Korean stocks data, with tool stubs for stock quotes, orderbooks, and DART filings; all data tools currently return a NOT_IMPLEMENTED error.