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127,516 tools. Last updated 2026-05-05 19:43

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

  • Identify top-performing stocks in the Spanish stock exchange over a specified period to inform investment decisions.
    MIT
  • Retrieve industry classification data for specific stocks or all A-share stocks on a given date to analyze market sectors and investment opportunities.
    MIT
  • Retrieve industry classification data for specific stocks or all A-share stocks on a given date to analyze market sectors and company categorization.
  • Access the complete Astria operating guide to learn available tools, recommended workflows, and best practices for persistent memory management.
    MIT
  • Display a visual catalog of all available chart types as a dashboard of mini previews. Click any card to learn more about that chart tool.
    Functional Source , Version 1.1, MIT Future

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.
    Last updated
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    MIT

Matching MCP Connectors

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

  • Hosted SEO MCP server for URL + keyword scans, entity coverage, competitor gaps, and internal-link opportunities for AI agents.

  • Retrieve metadata and structure of sample datasets (iris, tips, stocks, gapminder) to support chart exploration without custom data.
  • 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
  • List all supported chart types with descriptions to identify the right diagram format for rendering.
  • Compare items across multiple dimensions with a radar chart for skill profiles, product comparisons, and competitive analysis.
    Functional Source , Version 1.1, MIT Future
  • Retrieve top ETFs, mutual funds, companies, growth companies, or performing companies in a specific sector using input parameters like sector type and number of results.
  • Validate user-created chart code by checking configuration against data metadata and optionally open the chart in PyCafe for preview.
  • Retrieve endpoints for social media analytics, sentiment analysis, influencer tracking, and trend detection across crypto, stocks, and NFTs. Analyze engagement metrics, track virality, and monitor real-time social sentiment with comprehensive indicators.
  • Create a new slide with a title and automatically generated chart in PowerPoint presentations. The chart type is determined by the provided data structure, simplifying data visualization.
    MIT