io.github.promplate/hmr MCP Server
io.github.promplate/hmr
Hot Module Reload (HMR) for Python with reactive programming capabilities
What is the io.github.promplate/hmr MCP server?
The hmr MCP server provides Hot Module Reload (HMR) functionality for Python, enabling reactive programming patterns and dynamic code reloading. It allows developers to modify and reload Python modules without restarting the application, facilitating faster development cycles and interactive programming workflows.
This server exposes HMR capabilities for Python development, allowing you to implement reactive programming patterns and hot-reload modules during development. It's useful for building interactive Python applications where code changes can be applied instantly without full restarts.
How to install io.github.promplate/hmr
Copy-paste configuration for popular MCP clients.
Use cases
- Develop Python applications with instant code reloading without restarts
- Implement reactive programming patterns in Python projects
- Build interactive development environments with live module updates
- Experiment with Python code changes in real-time during development
- Create responsive applications that update dynamically as code changes
io.github.promplate/hmr MCP server FAQ
The hmr server provides Hot Module Reload (HMR) functionality for Python, enabling reactive programming and dynamic code reloading without application restarts.
Yes, hmr is open-source and available on PyPI at no cost.
You can connect via the remote streamable-http endpoint at https://promplate.github.io/pyth-on-line/hmr/mcp, or install the Python package from PyPI using pip install hmr.
No authentication is required to use the hmr server.
The README does not specify supported Python versions; check the PyPI page or documentation for compatibility details.
Yes, hmr is designed to work with Pyodide for reactive and interactive programming in browser-based Python environments.
Related MCP servers

io.github.promptwheel-ai/logbook
Local Git-history memory for coding agents: reverts, suppressions, hotspots, and annotations.

Proofable MCP
Give AI agents identity, scoped access, trusted context, and verifiable actions through MCP.

Bilig WorkPaper
Headless workbook runtime for Node.js: set inputs, recalculate formulas, read outputs, persist JSON—no Excel or browser needed.
Live odds, cross-book +EV and graded player-prop results across 27 books. Hosted endpoint included.

jira-mini-mcp
Minimal Jira Cloud MCP server: broad reads, a narrow 3-tool write surface, optional read-only mode.

