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@@ -555,6 +555,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Databricks Genie](https://github.com/yashshingvi/databricks-genie-MCP)** - A server that connects to the Databricks Genie, allowing LLMs to ask natural language questions, run SQL queries, and interact with Databricks conversational agents.
 - **[Databricks Smart SQL](https://github.com/RafaelCartenet/mcp-databricks-server)** - Leveraging Databricks Unity Catalog metadata, perform smart efficient SQL queries to solve Ad-hoc queries and explore data.
 - **[Datadog](https://github.com/GeLi2001/datadog-mcp-server)** - Datadog MCP Server for application tracing, monitoring, dashboard, incidents queries built on official datadog api.
+- **[DataLore Jetbrains](https://github.com/inspizzz/jetbrains-datalore-mcp)** - For cloud or self hosted Datalore instances, incorporates the full Datalore API functions to run notebooks and fetch execution data.
 - **[Dataset Viewer](https://github.com/privetin/dataset-viewer)** - Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export
 - **[DataWorks](https://github.com/aliyun/alibabacloud-dataworks-mcp-server)** - A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the [DataWorks](https://www.alibabacloud.com/help/en/dataworks/) Open API through a standardized interface. This implementation is based on the Alibaba Cloud Open API and enables AI agents to perform cloud resources operations seamlessly.
 - **[DaVinci Resolve](https://github.com/samuelgursky/davinci-resolve-mcp)** - MCP server integration for DaVinci Resolve providing powerful tools for video editing, color grading, media management, and project control.