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  • F
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    C
    maintenance
    Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.
  • A
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    D
    maintenance
    A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.
    34
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.
    3
    24
    6
    MIT
  • F
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    C
    maintenance
    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.
  • A
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    B
    maintenance
    Provides grounded investment decisions with evidence links and invalidation conditions, enabling users to review their portfolio through a structured decision process.
    MIT
  • F
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    quality
    C
    maintenance
    Enables AI assistants to query a person's CV and portfolio content via MCP tools and resources, returning grounded answers from local markdown data instead of relying on resume parsing.
  • F
    license
    B
    quality
    B
    maintenance
    Enables retail investors to create calendar-based investment plans, review portfolios, deploy cash, rebalance with fees in mind, and pick stocks using deterministic engines and public data, generating suggested orders only.
    34
    1
  • A
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    D
    maintenance
    Enables users to query Chinese A-share stock data, including stock basics, historical prices, financial reports, and macroeconomic indicators.
    1
    MIT
  • A
    license
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    quality
    B
    maintenance
    An MCP server that exposes an AI project portfolio as queryable tools, allowing users to ask about projects, search by technology, or get details via natural language.
    1
    MIT