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"General Information or Resources About Cryptocurrency" matching MCP servers:

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    LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.
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    MIT
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    Provides LLMs with full PostgreSQL database access, including tools for query execution, schema management, and data export. It also features a dedicated insights system for storing business memos and supports both local stdio and remote HTTP transport.
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    MIT
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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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    Provides real-time and historical cryptocurrency market data through integration with major exchanges. This server enables LLMs like Claude to fetch current prices, analyze market trends, and access detailed trading information.
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    MIT
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    Cryptocurrency MCP Server! Free! This powerful tool is designed for blockchain enthusiasts, providing comprehensive, real-time cryptocurrency information at your fingertips. Whether you're an experienced trader or just starting your journey into the crypto world.
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    MIT
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    MCP service that provides real-time access to Binance cryptocurrency market data, allowing AI agents to fetch current prices, order books, candlestick charts, and trading statistics through natural language queries.
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    Apache 2.0
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    Enables AI agents to access real-time Binance cryptocurrency market data including prices, order books, candlestick charts, trading history, and 24-hour statistics through natural language queries.
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    12
    Apache 2.0
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    A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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    MIT
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    Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.
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