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    Enables read-only comparison of tokenized stock tokens on Solana across issuers, quoting buys at multiple sizes with slippage, and weighing the all-in cost of a purchase against the real share price (with an optional API key for share prices and risk scores).
    3
    MIT
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    An MCP server that lets an AI assistant read your pre-installed macOS Apple Stocks app — its watchlist and its cached quotes — and open symbols in the app to add them.
    1
    62 npm
    2
    MIT
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    Enables AI agents to capture TradingView chart snapshots via the CHART-IMG API, supporting multiple chart types and resolutions with automatic dimension clamping and authentication.
    9
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    Enables real-time and historical Indian stock market data retrieval, including prices, news, recommendations, and top gainers/losers.
    11
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    Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.
    37
    47 PyPI
    MIT
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    Historical stock pattern intelligence for AI agents. Search 24M pre-computed chart pattern embeddings across 15K stocks and 10 years. 19 tools: pattern similarity search, forward returns, regime analysis, anomaly detection, sector rotation, earnings reactions, correlation shifts, scenario analysis, and more. Returns what happened historically when charts looked like this — compliance-safe
    22
    98 PyPI
    22
    MIT
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    Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.
    14
    MIT
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    An MCP server providing stock market data and trading capabilities through multiple broker APIs including Robinhood and Schwab.
    100
    40 PyPI
    11
    Apache 2.0
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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.
    1
    MIT
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    An MCP server that extracts energy-usage charts from utility-bill PDFs, returning structured time-series data and annotated images.
    1
    AGPL 3.0
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    AI-powered terrain analysis for any location on Earth. Uses super-resolution and computes environmental risk metrics including erosion, water flow, and a composite Site Intelligence Score.
    3
    MIT
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    Provides deterministic parental guidance for children with chronic kidney disease, including food safety checks, lab report interpretation, and nutrient-aware food substitutions based on authoritative guidelines and the Chinese Food Composition Table.
    12
    MIT
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    Read-only MCP server that lets analysts pull Yahoo Finance data and compute risk metrics, technical indicators, fundamental and peer ratios, ETF tracking statistics, plus user-defined parametric indicators, conditions and saved hooks with chart output. Every result carries its unit, formula source, data window and warnings, so the agent can explain each number.
    11
    MIT
  • F
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    Enables analysis of Indian stocks listed on BSE/NSE through real-time quotes, fundamentals, historical data, stock discovery, market overview, and news integration.
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    Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.
    6
    MIT
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    A lightweight MCP server for linear-static structural analysis of bridges and building frames, providing tools to build 3D beam/truss models, analyze with built-in or CalculiX solvers, and export to FreeCAD.
    17
    4
    MIT
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    Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.
    11
    2
    MIT
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    Enables querying options chains and estimating gamma exposure for ETFs and liquid underlyings, including proxy gamma calculations and historical gamma snapshots.
    9
    GPL 3.0