A JupyterLab extension for Chat with AI supporting MCP
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# mcp_client_jupyter_chat [](https://github.com/ihrpr/mcp-client-jupyter-chat/actions/workflows/build.yml) [](https://mybinder.org/v2/gh/ihrpr/mcp-client-jupyter-chat/main?urlpath=lab) A JupyterLab extension for Chat with AI supporting Model Context Protocol (MCP). This extension integrates AI and provides interactive tool usage capabilities through MCP servers. ## Demo  ## Features - Seamless integration with AI models (Currently supported models are Anthropi. More models are coming soon. ) - Real-time streaming of responses with step-by-step reasoning - Support for MCP server tools with interactive execution: - Rich content display - Interactive chat interface ## Requirements - JupyterLab >= 4.0.0 - An Anthropic API key for Claude access - Running MCP server(s) for tool integration (optional) ## Model Configuration The extension supports multiple Claude models through the Anthropic API. You'll need to: 1. Obtain an Anthropic API key from [Anthropic's website](https://www.anthropic.com) 2. Configure your models in JupyterLab's Settings Editor under the "MCP Chat" section 3. For each model, provide: - Name (e.g., "gpt-4") - API Key - Set as default (optional) ## Install To install the extension, execute: ```bash pip install mcp_client_jupyter_chat ``` ## Uninstall To remove the extension, execute: ```bash pip uninstall mcp_client_jupyter_chat ``` ## Contributing ### Development install Note: You will need NodeJS to build the extension package. The `jlpm` command is JupyterLab's pinned version of [yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use `yarn` or `npm` in lieu of `jlpm` below. ```bash # Clone the repo to your local environment # Change directory to the mcp_client_jupyter_chat directory # Install package in development mode pi…
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