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Hybrid Recursive Ladder MCP Server

by magicsquarekey Your server? Claim it
local only

Hybrid Recursive Ladder runs on your own machine — the client starts it, so there is no endpoint to ping. 137 installs a week from pypi. Last commit 27 Oct 2026.

Aggregate long time-series ranges with a few source requests instead of one per bucket.

Installs per day peak 330 · avg 20 · -71% w/w
a month agotoday
137
Installs / week
pypi · hybrid-recursive-ladder-mcp
1
Stars
0 open issues
27 Oct 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 4 d ago · rules 995398eba69f

In the project's build, not in the package

Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.

Runs an external command tools/localize_assets.py:1039
        subprocess.run(

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

Nothing serious here today

Today is the operative word: we check Hybrid Recursive Ladder every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add hybrid-recursive-ladder -- uvx hybrid-recursive-ladder-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "hybrid-recursive-ladder": {
      "command": "uvx",
      "args": [
        "hybrid-recursive-ladder-mcp"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.hybrid-recursive-ladder]
command = "uvx"
args = ["hybrid-recursive-ladder-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "hybrid-recursive-ladder": {
      "command": "uvx",
      "args": [
        "hybrid-recursive-ladder-mcp"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "hybrid-recursive-ladder": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "hybrid-recursive-ladder-mcp"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: HL_SOURCE (Source backend: demo (default), thingsboard, or postgres), HL_TB_URL (ThingsBoard base URL, for example http://localhost:9090), HL_TB_USERNAME (ThingsBoard username; pair with HL_TB_PASSWORD), HL_TB_PASSWORD (ThingsBoard password), HL_TB_TOKEN (ThingsBoard access token, used instead of username and password), HL_PG_DSN (PostgreSQL DSN for the local materialized store), HL_TIMEZONE (IANA timezone for calendar boundaries; default Asia/Shanghai), HL_FINEST (Finest ladder level: minute, hour, day, or month).

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Hybrid Recursive Ladder — questions

Answers built from our own checks of this server.

Why is there no uptime for Hybrid Recursive Ladder?
Hybrid Recursive Ladder runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package hybrid-recursive-ladder-mcp was installed 137 times last week.
How do I connect Hybrid Recursive Ladder?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls hybrid-recursive-ladder-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Hybrid Recursive Ladder?
The pypi package hybrid-recursive-ladder-mcp was installed 137 times in the last week. Week over week that is -71%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Hybrid Recursive Ladder open source?
Yes — it is published under the MIT licence, written in Python and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.