jupyter-mcp-server and chartmogul-mcp-server
These are ecosystem siblings within the MCP framework—one provides a general-purpose Jupyter integration server for executing code and accessing notebook kernels, while the other is a domain-specific server that exposes ChartMogul's SaaS API, both designed to be used as interchangeable MCP server implementations depending on the user's needs.
About jupyter-mcp-server
datalayer/jupyter-mcp-server
🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
This project helps AI agents connect to and control Jupyter Notebooks in real-time. It takes instructions from an AI client (like Claude Desktop) and translates them into actions within a Jupyter environment, such as running code, managing cells, and reading outputs. It's designed for developers building AI agents or applications that need to automate data analysis, scientific computing, or scripting workflows within Jupyter.
About chartmogul-mcp-server
chartmogul/chartmogul-mcp-server
The MCP server for ChartMogul
This server helps integrate your ChartMogul account data with other business tools, allowing you to manage customer information, subscriptions, sales opportunities, and financial metrics programmatically. It takes raw customer, subscription, and sales data from your ChartMogul account and makes it available for automated workflows and reporting. This tool is for operations professionals, data analysts, or developers who need to connect ChartMogul with other systems for data synchronization and custom reporting.
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