mcpbeat

Hmr MCP Server

dev.promplate/hmr
answering

Hmr is answering right now. Last checked 12 min ago. It exposes 3 tools. Last commit 2 Aug 2026.

Docs for hot-module-reload and reactive programming for Python (`hmr` on PyPI)

Uptime history 40 hours of history
40 hours agonow
100.0%
Uptime 24h
91 of 91 checks
3
Tools
read from the server
266 ms
Response time
average over 24h
58
Stars
last commit 2 Aug 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

run in your terminal
claude mcp add hmr --transport http https://pyth-on-line.promplate.dev/hmr/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "hmr": {
      "url": "https://pyth-on-line.promplate.dev/hmr/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.hmr]
url = "https://pyth-on-line.promplate.dev/hmr/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "hmr": {
      "url": "https://pyth-on-line.promplate.dev/hmr/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "hmr": {
      "url": "https://pyth-on-line.promplate.dev/hmr/mcp"
    }
  }
}

Available tools 3

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

view
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.
learn
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.

Endpoints

URLTransportStateLatencyChecked
https://pyth-on-line.promplate.dev/hmr/mcp streamable-http answering 187 ms 12 min ago

Hmr — questions

Answers built from our own checks of this server.

What can Hmr do?
It exposes 3 tools, read directly from the server on our last check. Among them: learn-hmr-basics, view-hmr-core-sources, view-hmr-unit-tests. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Hmr working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 266 ms. The bar chart above shows every period we have measured.
How do I connect Hmr?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Hmr need an API key?
No. Hmr completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Hmr?
It answers our handshake in 266 ms on average, which is faster than 51% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Hmr open source?
Yes — written in Python, 58 stars on GitHub and 11 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.