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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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    Enables fetching real-time stock prices from Yahoo Finance through Claude AI's interface. Allows users to query current market data for stocks using natural language commands.
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    MIT
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    Real-time sports card pricing, market analysis, arbitrage detection, grading ROI, investment advice, and player stats (NBA/NFL/MLB). 9 tools for AI agents helping collectors and investors.
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    MIT
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    Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.
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    Serve Indodax Public market data: server time, pairs, ticker, all tickers, summaries, order book, trades, OHLC, and price increments. Private account data: account info, balances, transactions, and trade history. Spot trading: buy, sell, cancel, cancel by client order ID, cancel all, and deadman countdown. Funding: withdrawal fee lookup.
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    MIT
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    Enables AI agents to trade on Interactive Brokers: check quotes, balance, positions, and execute buy/sell orders (including fractional shares by dollar amount) via the Client Portal API.
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    MIT
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    An MCP server that lets an AI agent read your MetaTrader 5 account and place trades over the Model Context Protocol, with a configurable human approval gate.
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    MIT
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    MCP server for XMLRiver enabling Google and Yandex SERP parsing, Yandex Wordstat keyword frequency, indexing checks, and account operations.
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    MIT
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    Enables control of MHS-5200A series signal generators via serial connection, including frequency, amplitude, waveform, and sweep settings.
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    MIT
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    An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.
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    MIT
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    Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.
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    Apache 2.0