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"Finding the best servers for quant trading, options pricing in Python, R, Rust and market data" matching MCP servers:

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    Provides live cryptocurrency market data from over 100 exchanges, enabling AI agents to fetch prices, order books, funding rates, and more for trading analysis and arbitrage opportunities.
    13
    2
    MIT
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    Read-only MCP server for options research with server-side filtering to reduce token usage. Supports Tradier and Alpaca data providers.
    4
    19
    9
    MIT
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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.
    6
    163
    MIT
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    Provides a production-ready FastMCP Python server boilerplate with structured logging, rate limiting, and config validation for building MCP servers compatible with Claude and other agents.
    2
    1
    MIT
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    This MCP server provides direct access to ruff linting, formatting checks, and ty type-checking for Python projects, with token-efficient, structured output.
    9
    MIT
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    Python MCP server for SolidWorks automation with 109 tools covering the full CAD lifecycle. Enables AI-assisted design workflows through COM automation on Windows.
    100
    68
    MIT
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    An MCP server that exposes the python-bitcoinlib API. It provides tools for Bitcoin key management, address generation, transaction building, script operations, and cryptography.
    20
    MIT
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    MCP server exposing 43 financial data tools for A-share, HK, US stocks, crypto, and market news via open-stock-data.
    43
    14
    MIT
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    An MCP server that gives an LLM agent a typed, audited tool surface over quant crypto-options desk analytics: gamma exposure, vanna, skew, vol surface, options flow, technicals, portfolio greeks, scenario analysis, and live positions.
    22
    1
    MIT
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    A full-featured secure MCP server for local file system operations, with built-in image processing, OCR and media tools. Fully compliant with the official Model Context Protocol specification, offering standardized request/response schemas, large-file streaming I/O, multi-transport remote deployment, and comprehensive text search & replace functionality for LLM agent integration.
    22
    Apache 2.0