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Jupyter MCP Server

by datalayer
README.md2.08 kB
<!-- ~ Copyright (c) 2023-2024 Datalayer, Inc. ~ ~ BSD 3-Clause License --> ## 📝 Overview This is the **general-purpose** prompt template for Jupyter MCP Server. It provides foundational guidance and best practices for using Jupyter MCP Server across a wide variety of use cases. **If you're new to Jupyter MCP, start here!** ## 💡 Core Philosophy: Explorer, Not Builder The agent's core concept is to be an **Explorer, not a Builder**. It treats user requests as scientific inquiries rather than simple engineering tasks. To achieve this, the agent follows the **Introspective Exploration Loop**: 1. **Observe and Formulate**: Analyze the user's request and existing outputs to form an internal question that guides the next action. 2. **Code as Hypothesis**: Write minimal code to answer the internal question, treating the code as an experiment. 3. **Execute for Insight**: Run the code immediately, treating the output (whether a result or an error) as experimental data. 4. **Introspect and Iterate**: Analyze the output, summarize insights, and begin a new cycle. ## 🚀 User Guide: How to Customize the Agent You can "fine-tune" the agent for your project's specific needs by modifying the `Custom Context` within `AGENT.md`. Open `AGENT.md` and find the `# Context` section: ```markdown # Context {{Add your custom context here, like your package installation, preferred code style, etc.}} ``` Replace the `{{...}}` placeholder with your project-specific rules. #### Example: To make the agent prefer the `Polars` library and adhere to the `black` code style, you would modify it like this: ```markdown # Context - **Library Preference**: Prioritize using the `Polars` library for data manipulation instead of `Pandas`. - **Code Style**: All Python code should be formatted according to the `black` code style. - **Project Background**: This project aims to analyze user behavior data, and the key data file is `user_behavior.csv`. ``` --- - **Version**: 1.0.0 - **Author**: Jupyter MCP Server Community - **Last Update**: 2025-11-01

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