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"How to extract text from images" matching MCP servers:

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    A Model Context Protocol server that enables LLM clients to fetch, analyze, and extract insights from real-time WallStreetBets posts, comments, and shared links for market analysis.
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    MIT
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    Enables natural language queries to read balances, statements, credit card bills, investments, and loans from Next bank accounts via Open Finance Brasil. All read-only, no money movement.
    MIT
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    An MCP server that interfaces with the Japanese EDINET API v2 to search, download, and extract text from financial disclosure documents. It enables users to browse disclosure lists, retrieve document originals, and perform natural language searches for specific financial filings.
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    Offers plain-English access to Australian Taxation Office statistics including personal tax by postcode, company tax by industry, corporate transparency for $100M+ entities, super contributions by age, and the ACNC charity register.
    7
    MIT
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    Provides AI agents with real-time and historical crypto market data from nine exchanges, including order book metrics, volumes, spreads, and market microstructure via the BlackForge API.
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    MIT
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    Renders OHLCV data as candlestick chart PNGs and returns inline images. It is a pure renderer with no network access, allowing models to view charts generated from provided data.
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    MCP server that exposes the OBBBA No Tax on Tips federal deduction logic as callable tools, enabling users to check eligibility and estimate tip deductions.
    4
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    Provides Korean stock market data, including DART electronic disclosures and KRX trading information, enabling users to query company profiles, financial statements, and stock trade details via MCP clients.
    9
    MIT
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    Enables AI assistants to query CS2 item real-time prices, K-line data, market index, wear, and inspect images via the SteamDT API.
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    MIT
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    Enables natural language interaction with your T-Invest brokerage account for portfolio analysis, dividend tracking, and optional trading with safety confirmations.
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    Apache 2.0
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    Query SEC EDGAR for company filings, financial data, and executive disclosures. Search by company name or ticker, retrieve 10-K/10-Q/8-K filings, and extract structured financials — backed by the official SEC EDGAR API, built for AI agents.
    4
    MIT
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    An MCP server that enables models to access SEC EDGAR filings, filing text, and XBRL financial facts with caching, rate limiting, and iXBRL stripping.
    8
    MIT
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    Parses PDF receipts to extract grocery and shopping expenses, automatically categorizes items using smart rules and LLM fallback, and stores them in a local SQLite database for querying purchase history and spending patterns.
    3
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    Enables precise search of financial statement footnotes from Korean DART electronic disclosure, filtering by market, industry, and topic with high precision through rule-based topic matching.
    7
    MIT