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Add MCP Toolz to Knowledge & Memory section
MCP Toolz provides context management, todo persistence, and multi-AI perspectives for Claude Code. Users can save and restore contexts, code snippets, and todo lists across sessions, and get feedback from ChatGPT, Claude, Gemini, and DeepSeek.
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@@ -798,6 +798,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
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- [kaliaboi/mcp-zotero](https://github.com/kaliaboi/mcp-zotero) 📇 ☁️ - A connector for LLMs to work with collections and sources on your Zotero Cloud
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- [mem0ai/mem0-mcp](https://github.com/mem0ai/mem0-mcp) 🐍 🏠 - A Model Context Protocol server for Mem0 that helps manage coding preferences and patterns, providing tools for storing, retrieving and semantically handling code implementations, best practices and technical documentation in IDEs like Cursor and Windsurf
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- [modelcontextprotocol/server-memory](https://github.com/modelcontextprotocol/servers/tree/main/src/memory) 📇 🏠 - Knowledge graph-based persistent memory system for maintaining context
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- [taylorleese/mcp-toolz](https://github.com/taylorleese/mcp-toolz) 🐍 🏠 - Context management, todo persistence, and multi-AI perspectives for Claude Code. Save and restore contexts, code snippets, and todo lists across sessions. Get feedback from ChatGPT, Claude, Gemini, and DeepSeek.
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- [MWGMorningwood/Central-Memory-MCP](https://github.com/MWGMorningwood/Central-Memory-MCP) 📇 ☁️ - An Azure PaaS-hostable MCP server that provides a workspace-grounded knowledge graph for multiple developers using Azure Functions MCP triggers and Table storage.
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- [pi22by7/In-Memoria](https://github.com/pi22by7/In-Memoria) 📇 🦀 🏠 🍎 🐧 🪟 - Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding.
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- [pinecone-io/assistant-mcp](https://github.com/pinecone-io/assistant-mcp) 🎖️ 🦀 ☁️ - Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.
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