Official description7 sourcesMCP servers8d ago

ankitmalik84/notion-mcp-server

🐍 ☁️ - Notion integration

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claude mcp add agentic-longterm-memory -- npx -y agentic_longterm_memory

A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.

Star count: 5 ★ · ankitmalik84/Agentic_Longterm_Memory · read from the repository page · (checked 2026-10-16 20:00:20)
Source: collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history: first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score: score 703 · 5 ★ · 7 sources · mcp

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We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.

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We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.

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repository ankitmalik84/Agentic_Longterm_Memory；first catalogued 2026-10-09；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.

Third-party quality signals

🧠 Agentic Long-Term Memory with Notion Integration

以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →

This project explores the concept of long-term memory in AI agents and demonstrates how to build sophisticated agentic memory systems using various approaches and tools. **Now featuring complete Notion workspace integration and MCP (Model Context Protocol) implementation!**
Feel free to ⭐️ the repo if it helps you understand long-term memory for agents!
🚀 **What's New - Enhanced Features**
**🔥 Complete Notion Integration**
- **15+ Notion Functions**: Search, read, create, update, and analyze your Notion workspace
- **Smart Content Management**: Add paragraphs, headings, bullets, todos with intelligent formatting
- **Advanced Content Types**: Bookmarks and internal page links with URL validation
- **Workspace Analytics**: Get insights about your Notion usage patterns
- **Bulk Operations**: Handle multiple pages and operations efficiently with smart pagination
- **Function Chaining**: Complex multi-step workflows handled automatically
- **Production-Ready MCP Server**: **Complete Notion MCP Server V2.1** with bulletproof validation and comprehensive testing
**🎯 MCP (Model Context Protocol) Implementation**
- **Multiple Transport Support**: HTTP and stdio transport protocols
- **Production Ready**: Deployable MCP servers with fallback strategies
- **Tool Discovery**: Automatic tool registration and discovery
- **Error Handling**: Comprehensive error management and recovery
📚 **Comprehensive Documentation**
**📖 Core Documentation**
- **🤖 Complete System Explanation** - _Detailed walkthrough of the entire chatbot system_
- **🔧 How MCP Tools Work** - _Deep dive into MCP implementation and tool mechanics_
- **🚀 Notion Integration Guide** - _Complete Notion ServerV2 integration documentation_
- **🔗 Notion MCP Server** - _**Complete Notion MCP Server V2.1** - Production-ready server with bulletproof validation_
**🔍 Implementation Guides**
- **📊 MCP Implementation Comparison** - _Comparison of different MCP implementation approaches_
- **🎯 MCP Notion README** - _Specific MCP Notion integration setup and usage_
- **⚙️ Production Configuration** - _Production deployment and configuration guide_
**🧠 Memory System Research**
- **Memory in LLM Agents** - _Research paper reference_
- **MemGPT Paper** - _PDF available in the repo_
📚 **What You'll Learn**
1. How to design a **custom agentic long-term memory** system
2. How to implement **long-term memory using Vector DB and Graph DB** with **LangChain** and **LangGraph**
3. How to structure memory into **semantic**, **episodic**, and **procedural** components
4. **Complete Notion workspace integration** with natural language processing
5. **MCP (Model Context Protocol)** implementation for scalable tool integration
6. **Production-ready MCP server development** - see our **Notion MCP Server V2.1**
7. **Advanced function chaining** for complex multi-step workflows
8. **Production-ready deployment** strategies and configurations
💾 **How to Run the Project**
⚠️ **Note**: Please use Python 3.11 as Python 3.12 may cause compatibility issues with some dependencies.
**1. Environment Setup**
**2. Database Preparation**
**3. Environment Variables**
**4. Run the Enhanced Chatbot**
**5. Test the Integration**
🎯 **Available Chatbot Versions**
**Version 1: Basic Chatbot** (basic_chatbot_v1.py)
- Simple conversation handling
- Basic OpenAI integration
**Version 2: Agentic Chatbot** (chatbot_agentic_v2.py)