jupyter-mcp-server and fastmcp

The Jupyter-MCP-server is a specific implementation of an MCP server designed for Jupyter, potentially using the fastmcp library as its underlying framework for building MCP servers and clients.

jupyter-mcp-server
87
Verified
fastmcp
81
Verified
Maintenance 17/25
Adoption 22/25
Maturity 25/25
Community 23/25
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 19/25
Stars: 937
Forks: 147
Downloads: 26,486
Commits (30d): 16
Language: Python
License: BSD-3-Clause
Stars: 23,593
Forks: 1,813
Downloads:
Commits (30d): 164
Language: Python
License: Apache-2.0
No risk flags
No risk flags

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.

AI-agent-development Jupyter-automation programmatic-notebook-control real-time-notebook-interaction developer-tooling

About fastmcp

PrefectHQ/fastmcp

🚀 The fast, Pythonic way to build MCP servers and clients.

This project helps Python developers build applications that connect Large Language Models (LLMs) to custom tools and data. You provide Python functions, and it automatically generates the necessary components for LLMs to use them. This is ideal for developers who want to integrate LLMs with existing business logic or data sources efficiently.

LLM-development AI-application-development API-development tool-integration backend-development

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