mcp server
hmr
Docs for hot-module-reload and reactive programming for Python (`hmr` on PyPI)
Description as published by the maintainer. Source
- version 1.0.2
- active
active — Most recent push to the repository was 2026-08-03.
What this server can do
3 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
learn-hmr-basics- A brief and concise explanation of the `hmr` library. This tool provides information on how to use reactive programming or use hot module reloading in Python. As long as the user mentions HMR / Reactive Programming, this tool must be called first! Don't manually view the resource, call this tool instead.
view-hmr-core-sources- The full source code (core only) of the HMR library. Always call `learn-hmr-concepts` to learn the core concepts before calling this tool. These files are the full source code of the HMR library, which would be very helpful because good code are self-documented. For a brief and concise explanation, please refer to the `hmr-docs://about` MCP resource. Make sure you've read it before calling this tool. To learn how to use HMR for reactive programming, read the unit tests later. The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.
view-hmr-unit-tests- The unit tests (code examples) for HMR. Always call `learn-hmr-basics` and `view-hmr-core-sources` to learn the core functionality before calling this tool. These files are the unit tests for the HMR library, which demonstrate the best practices and common coding patterns of using the library. You should use this tool when you need to write some code using the HMR library (maybe for reactive programming or implementing some integration). The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.
Last successful function declaration observed on . Source: https://pyth-on-line.promplate.dev/hmr/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://pyth-on-line.promplate.dev/hmr/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 58 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-03 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 28 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.0.2 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2025-09-17 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2025-09-17 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 3 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | pyth-on-line.promplate.dev | |
| mcp endpoint status | ok | The server listed 3 functions when asked. | as of probe | pyth-on-line.promplate.dev |
Where to get it
Also from promplate
-
io.github.promplate/hmr
Hot Module Reload (HMR) for Python with reactive programming and MCP tools
How the author describes it
Topics the maintainer set on GitHub: hmr, hot-reload, mcp, mcp-server, metaprogramming, reactive, reload, uvicorn.
This record as data
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