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@ -283,6 +283,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan
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- [ChronulusAI/chronulus-mcp](https://github.com/ChronulusAI/chronulus-mcp) 🐍 ☁️ - Predict anything with Chronulus AI forecasting and prediction agents.
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- [zcaceres/markdownify-mcp](https://github.com/zcaceres/markdownify-mcp) 📇 🏠 - An MCP server to convert almost any file or web content into Markdown
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- [@reading-plus-ai/mcp-server-data-exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration) 🐍 ☁️ - Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.
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- [zenml-io/mcp-zenml](https://github.com/zenml-io/mcp-zenml) 🐍 🏠 ☁️ - An MCP server to connect with your [ZenML](https://www.zenml.io) MLOps and LLMOps pipelines
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- [hanlulong/stata-mcp](https://github.com/hanlulong/stata-mcp) - MCP server for Stata (popular in economic analysis) with VS code and Cursor extension.
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### 📂 <a name="file-systems"></a>File Systems
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### 🧠 <a name="knowledge--memory"></a>Knowledge & Memory
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Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.
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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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- [/CheMiguel23/MemoryMesh](https://github.com/CheMiguel23/MemoryMesh) 📇 🏠 - Enhanced graph-based memory with a focus on AI role-play and story generation
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- [/topoteretes/cognee](https://github.com/topoteretes/cognee/tree/dev/cognee-mcp) 📇 🏠 - Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
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