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  • A
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    Enables real-time options order flow analysis with pattern detection, institutional bias tracking, and monitoring of specific strike ranges and expirations. Provides comprehensive options trading data through integration with a high-performance Go-based data broker.
    Last updated
    10
    MIT
  • A
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    A high-performance Model Context Protocol (MCP) server that provides seamless integration with Amazon DataZone services. This server enables AI assistants and applications to interact with Amazon DataZone APIs through a standardized interface.
    Last updated
    49
    6
    Apache 2.0
  • A
    license
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    quality
    A
    maintenance
    50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.
    Last updated
    50
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    5
    MIT
  • A
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    maintenance
    A fast, safe MCP server for YNAB providing read-only budget access by default, with 28 tools for budgets, transactions, categories, payees, accounts, scheduled transactions, and server-computed analytics.
    Last updated
    MIT
  • A
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    An MCP server that gives AI assistants the ability to connect to, query, profile, and monitor data sources — turning any LLM into an interactive data engineering copilot.
    Last updated
    MIT
  • F
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    quality
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    maintenance
    Enables fetching market and options data including OHLCV prices, option chains, Greeks, and corporate events through a pluggable FastAPI service. Supports creating aligned training datasets for financial analysis and uses yfinance by default with support for custom data providers.
    Last updated
  • F
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    Enables AI agents to index and search across SQLite databases and CSV files to discover table schemas and column metadata. It provides a unified MCP API for data source management and structural exploration through natural language.
    Last updated
  • F
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    quality
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    maintenance
    Bootstrap MCP server for future data exploration and querying across multiple databases, currently only provides a hello_world tool with no actual data connectivity.
    Last updated
  • F
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    quality
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    An MCP server for dataset exploration and analysis, enabling LLM clients to perform summary, correlation, distribution, missing value analysis, data cleaning, and statistical tests directly on CSV files.
    Last updated
  • A
    license
    A
    quality
    A
    maintenance
    Enables LLMs to profile and analyze tabular data files (CSV, Parquet, Excel, JSON) by extracting schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.
    Last updated
    4
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    1
    MIT