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"A search for courses and educational programs" matching MCP servers:

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    Enables searching Brown University courses, getting detailed course info, and checking schedule conflicts via natural language, using the university's public course catalog API.
    5
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    Enables LLMs to interact with FIT CTU course materials, including listing subjects, navigating subpages, reading content as Markdown, and performing keyword searches.
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    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.
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    Read-only MCP server that retrieves educational context from started Stepik courses, offering tools to list courses, explore structure, fetch text step content, and perform local lexical search.
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    An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.
    3
    33
    6
    MIT
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    Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.
    3
    MIT
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    A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.
    2
    41
    646
    MIT
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    MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.
    Apache 2.0
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    Connects AI agents to anonymous strangers for asking and answering questions in character.
    8
    MIT
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    Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
    32
    Apache 2.0
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    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