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"A server for determining the best stocks to invest in" matching MCP servers:

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    Enables AI assistants like Claude to interact with humans through intuitive GUI dialogs, supporting text input, choices, confirmations, and information displays.
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    6
    162
    MIT
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    Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.
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    257
    MIT
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    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
    Last updated
    4
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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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    3
    3
    MIT
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    Read-only MCP server that connects LLMs to personal investment accounts (Toss Securities, KIS), market data, SEC filings, and Binance futures for context-aware investment responses.
    Last updated
    1
    MIT
  • A
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    quality
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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.
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    MIT
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    Enables trading and market data access for Toss Securities through natural language, with built-in trading guardrails to prevent errors.
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    MIT
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    Enables MCP clients to read Toss Securities market data and account info, and optionally place real-money orders.
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    An MCP server for construction tools that calculates wall formwork material takeoffs from geometry inputs, enabling LLMs to generate accurate bills of materials.
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    Provides real-time stock data, news, company fundamentals, and technical indicators for AI assistants via the Model Context Protocol.
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  • A
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    quality
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    Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.
    Last updated
    7
    2
    MIT