Awesome/awesome-mcp-servers
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Karthik Devan
2025-04-22 10:04:07 +05:30
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@@ -333,7 +333,6 @@ Data Platforms for data integration, transformation and pipeline orchestration.
- [yashshingvi/databricks-genie-MCP](https://github.com/yashshingvi/databricks-genie-MCP) 🐍 ☁️ - A server that connects to the Databricks Genie API, allowing LLMs to ask natural language questions, run SQL queries, and interact with Databricks conversational agents.
- [jwaxman19/qlik-mcp](https://github.com/jwaxman19/qlik-mcp) 📇 ☁️ - MCP Server for Qlik Cloud API that enables querying applications, sheets, and extracting data from visualizations with comprehensive authentication and rate limiting support.
- [keboola/keboola-mcp-server](https://github.com/keboola/keboola-mcp-server) 🐍 - interact with Keboola Connection Data Platform. This server provides tools for listing and accessing data from Keboola Storage API.
- [kdqed/zaturn](https://github.com/kdqed/zaturn): AI Data Co-pilot as an MCP. Link multiple data sources (SQL & file-based), ask AI to analyze the data for insights and visualizations.
### 💻 <a name="developer-tools"></a>Developer Tools
@@ -423,7 +422,8 @@ Integrations and tools designed to simplify data exploration, analysis and enhan
- [zcaceres/markdownify-mcp](https://github.com/zcaceres/markdownify-mcp) 📇 🏠 - An MCP server to convert almost any file or web content into Markdown
- [datalayer/jupyter-mcp-server](https://github.com/datalayer/jupyter-mcp-server) 🐍 🏠 - Model Context Protocol (MCP) Server for Jupyter.
- [jjsantos01/jupyter-notebook-mcp](https://github.com/jjsantos01/jupyter-notebook-mcp) 🐍 🏠 - connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks.
- [arrismo/kaggle-mcp](https://github.com/arrismo/kaggle-mcp) 🐍 ☁️ - Connects to Kaggle, ability to download and analyze datasets.
- [arrismo/kaggle-mcp](https://github.com/arrismo/kaggle-mcp) 🐍 ☁️ - Connects to Kaggle, ability to download and analyze datasets.
- [kdqed/zaturn](https://github.com/kdqed/zaturn) 🐍 🏠 🪟 🐧 🍎 - Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations.
### 📟 <a name="embedded-system"></a>Embedded System