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260,400 tools. Last updated 2026-07-05 06:01

"A guide for performing chart analysis on stocks" matching MCP tools:

  • Retrieve today's top performing NSE stocks by gain, loss, or trading volume. Choose from gainers, losers, or most active stocks.
    MIT
  • Compare key valuation metrics like P/E, PEG, and price-to-book across multiple stocks to identify undervalued or overvalued opportunities for peer analysis and sector comparisons.
    MIT
  • Retrieve a list of all generated guide files saved in the codeglance-analysis/guide directory. Use this to see available documentation outputs.
    MIT
  • Retrieves historical OHLCV candlestick data for stocks, ETFs, or indexes. Supports multiple intervals and lookback periods for chart analysis and quantitative backtesting.
    MIT
  • Identify top-performing stocks in the Spanish stock exchange over a specified period to inform investment decisions.
    MIT
  • Calculate a horary chart for a question moment and receive radicality assessment with significator analysis.
    MIT

Matching MCP Servers

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

Matching MCP Connectors

  • ship-on-friday MCP — wraps StupidAPIs (requires X-API-Key)

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Visualize detected chart patterns by drawing their geometry (necklines, trendlines, targets) directly on your chart. Uses deterministic math from candle data, never altering user drawings.
    Apache 2.0
  • Draw technical-analysis shapes on the chart using 33 templates like trendlines, Fibs, and Elliott waves. Specify anchor points with timestamps and prices.
    Apache 2.0
  • Obtain the comprehensive inSCADA usage guide covering Nashorn scripts, ins.* API, animation elements, charts, custom menus, and live value endpoints. Call this first to avoid errors.
    MIT
  • Generate a radar chart from a Teradata table for multi-dimensional category comparison. Use table name, label column, and value columns.
    MIT
  • Generate a shareable API diff report with full analysis including policy checks, semantic versioning, spec health, and migration guide. Ideal for API reviews, PR comments, and compliance records.
    MIT
  • One command to load OHLCV data, run market analysis, and apply a chart preset. Works headless too, returning a MarketSummary.
    Apache 2.0
  • Get a routing guide to available tools and receive a specific recommendation for the best sub-agent or tool based on your task description.
    Apache 2.0
  • Retrieve top-performing domains in a specific market category with SEO metrics like traffic, visibility, keywords, backlinks, and SDR for competitive landscape analysis. Filter and sort results to identify key competitors.
    MIT
  • Analyze real-time Reddit sentiment for stocks and crypto assets. Provides sentiment insights from subreddit discussions to inform trading decisions.
    MIT
  • Deploy or upgrade a Helm chart release on a Kubernetes cluster. For standard Helm deployments only; AI models use deploy_model.
    MIT