🚀 Features: - FastMCP 2.8.1+ integration with modern Python 3.11+ features - Kuzu graph database for intelligent memory relationships - Multi-provider embedding support (OpenAI, Ollama, Sentence Transformers) - Automatic relationship detection via semantic similarity - Graph traversal for connected memory discovery - 8 MCP tools for comprehensive memory operations 🦙 Self-Hosted Focus: - Ollama provider for complete privacy and control - Zero external dependencies for sacred trust applications - Production-ready with comprehensive testing - Interactive setup script with provider selection 📦 Complete Package: - memory_mcp_server.py (1,010 lines) - Main FastMCP server - Comprehensive test suite and examples - Detailed documentation including Ollama setup guide - MCP client configuration examples - Interactive setup script 🎯 Perfect for LLM memory systems requiring: - Privacy-first architecture - Intelligent relationship modeling - Graph-based memory exploration - Self-hosted deployment capabilities
14 lines
361 B
JSON
14 lines
361 B
JSON
{
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"mcpServers": {
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"memory": {
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"command": "python",
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"args": ["/home/rpm/claude/mcp-ultimate-memory/memory_mcp_server.py"],
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"env": {
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"KUZU_DB_PATH": "/home/rpm/claude/mcp-ultimate-memory/memory_graph_db",
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"OLLAMA_BASE_URL": "http://localhost:11434",
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"OLLAMA_EMBEDDING_MODEL": "nomic-embed-text"
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}
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}
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}
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}
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