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"Using Hummingbot and LLMs for Automated Trading" matching MCP servers:

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    An MCP server that enables Claude and Gemini CLI to interact with Hummingbot for automated cryptocurrency trading across multiple exchanges.
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    11
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    Apache 2.0
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    An MCP server that gives AI agents direct access to VMware vSphere infrastructure, enabling VM lifecycle management, snapshots, datastore operations, networking, and more via 55 typed tools built on govc.
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    An MCP server that exposes the llms.txt file and its referenced local or external resources from a project root to provide context for AI models. It automatically parses documentation links and URLs to make them accessible as additional MCP resources.
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    MIT
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    A generic MCP (Model Context Protocol) server for any Hugo blog, deployed on Cloudflare Workers. It reads your blog's llms.txt and llms-full.txt files and exposes them as structured tools that AI assistants can query to understand your content.
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    MIT
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    Provides foundational trading utilities by fetching market data through Akshare and computing technical indicators like RSI and MACD using TA-Lib. It enables users to retrieve candlestick data and technical analysis series via a standardized MCP interface.
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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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    A comprehensive MCP server for stock analysis and trading insights, including stock screening, fundamental analysis, insider trading, options analysis, social media research, and news analysis.
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    MIT
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    Enables AI assistants to interact with Bitget cryptocurrency exchange for spot and futures trading. Supports real-time market data, order management, account balances, leverage control, and position tracking with demo trading capabilities.
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    MIT
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    Enables AI assistants to interact with IG Trading API for forex, indices, and commodities trading. Provides 21 tools for account management, position trading, order placement, market data analysis, and watchlist management.
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    MIT
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    Enables fast, token-efficient access to large documentation files in llms.txt format through semantic search. Solves token limit issues by searching first and retrieving only relevant sections instead of dumping entire documentation.
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    3
    MIT
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    Enables AI assistants to read positions, deals, and orders from the RGO trading platform via natural language, with optional trading capabilities when explicitly enabled.
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    MIT
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    Provides a comprehensive suite of 20 tools for cryptocurrency trading and technical analysis across 100+ exchanges like Binance and MEXC via CCXT. It enables users to execute orders, track positions, and scan for market opportunities through Claude Desktop using natural language.
    Last updated
    7
    MIT