🚀 Jupyter MCP Server
Jupyter MCP (Model Context Protocol) Server - Connect Jupyter notebooks with MCP-enabled applications
Overview
What is Jupyter MCP Server?
Jupyter MCP Server is a comprehensive Model Context Protocol (MCP) server that connects Jupyter notebooks with MCP-enabled applications, allowing for real-time code execution, visualization generation, and advanced image extraction capabilities.
How to use Jupyter MCP Server?
To use the Jupyter MCP Server, clone the repository, install the dependencies, and start the Jupyter server. Configure your MCP client to connect to the server for executing code and managing notebooks.
Key features of Jupyter MCP Server?
- Real-time code execution through WebSocket connections.
- Automatic kernel management and session persistence.
- Advanced image extraction capabilities supporting multiple formats.
- Comprehensive notebook management including cell manipulation and file operations.
- Enterprise-ready security features including smart XSRF handling and authentication support.
Use cases of Jupyter MCP Server?
- Data visualization pipelines for generating and extracting visual outputs.
- Scientific computing with real-time execution of complex algorithms.
- Educational tools for interactive learning and coding.
FAQ from Jupyter MCP Server?
- What is the Model Context Protocol (MCP)?
MCP is a protocol designed to facilitate communication between AI agents and applications, enabling seamless integration and execution of tasks.
- Is Jupyter MCP Server free to use?
Yes! Jupyter MCP Server is open-source and free to use under the BSD 3-Clause License.
- What are the prerequisites for using Jupyter MCP Server?
You need Python 3.11+, Jupyter Notebook, and a compatible MCP client like Claude Desktop.
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