A Memory-Enhanced MCP Server for Cryptocurrency Analysis using mem0
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# Crypto Memory MCP Server A Memory-Enhanced MCP Server for Cryptocurrency Analysis that solves the context window limitation problem when analyzing multiple cryptocurrencies. ## 🎯 Problem Solved When analyzing multiple cryptocurrencies with AI models, the context window gets filled up with tool calls and data, causing the AI to "forget" previous analysis. This MCP server provides persistent memory storage using [mem0](https://docs.mem0.ai/) to maintain analysis history across sessions. ## ✨ Features - **🧠 Persistent Memory**: Store cryptocurrency analysis using mem0's advanced memory system - **🔍 Smart Retrieval**: Search and retrieve previous analysis by symbol, type, or natural language queries - **📊 Multi-Symbol Comparison**: Compare analysis across multiple cryptocurrencies without losing context - **📈 Analysis Categorization**: Organize analysis by type (technical, fundamental, sentiment, etc.) - **📋 Memory Statistics**: Track your analysis history and memory usage - **🗑️ Memory Management**: Clean up old or irrelevant analysis data ## 🚀 Installation ```bash pip install crypto-memory-mcp ``` Or install from source: ```bash git clone <repository-url> cd crypto-memory-mcp pip install -e . ``` ## ⚙️ Configuration ### Quick VS Code Setup 1. **Install the package**: ```bash pip install crypto-memory-mcp ``` 2. **Get your OpenAI API key** from https://platform.openai.com/api-keys 3. **Add to VS Code settings** (`Ctrl+,` → search "claude mcp" → "Edit in settings.json"): **Option 1: uvx (Modern, Recommended):** ```json { "claude.mcpServers": { "crypto-memory": { "command": "uvx", "args": ["crypto-memory-mcp"], "env": { "OPENAI_API_KEY": "your_openai_api_key_here" } } } } ``` **Option 2: Python Module (Windows/Fallback):** ```json { "claude.mcpServers": { "crypto-memory": { "command": "python", "args": ["…
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