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NeuroDock Task Fractionator MCP Server

local only

NeuroDock Task Fractionator runs on your own machine — the client starts it, so there is no endpoint to ping. 100 installs a week from pypi. Last commit 22 Jun 2026.

Decompose a vague goal into atomic 5-90 minute tasks and surface the next safe action.

Installs per day peak 40 · avg 16 · -9% w/w
a month agotoday
100
Installs / week
pypi · neurodock-mcp-task-fractionator
18
Stars
1 open issue
22 Jun 2026
Last commit
from GitHub
AGPL-3.0
License
TypeScript

What the code does

We read the source, 3 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.

Installs itself into autostart packages/native-host/src/capabilities.ts:122
        "HKCU\\Software\\Microsoft\\Windows\\CurrentVersion\\Run",
    subprocess.run(
    const out = execFileSync(cmd, args as string[], {

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 NeuroDock Task Fractionator 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 neurodock-mcp-task-fractionator -- uvx neurodock-mcp-task-fractionator
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "neurodock-mcp-task-fractionator": {
      "command": "uvx",
      "args": [
        "neurodock-mcp-task-fractionator"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.neurodock-mcp-task-fractionator]
command = "uvx"
args = ["neurodock-mcp-task-fractionator"]
.cursor/mcp.json
{
  "mcpServers": {
    "neurodock-mcp-task-fractionator": {
      "command": "uvx",
      "args": [
        "neurodock-mcp-task-fractionator"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "neurodock-mcp-task-fractionator": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "neurodock-mcp-task-fractionator"
      ]
    }
  }
}

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NeuroDock Task Fractionator — questions

Answers built from our own checks of this server.

Why is there no uptime for NeuroDock Task Fractionator?
NeuroDock Task Fractionator 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 neurodock-mcp-task-fractionator was installed 100 times last week.
How do I connect NeuroDock Task Fractionator?
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 neurodock-mcp-task-fractionator straight from pypi; nothing to host, nothing to sign up for.
How many people use NeuroDock Task Fractionator?
The pypi package neurodock-mcp-task-fractionator was installed 100 times in the last week. Week over week that is -9%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is NeuroDock Task Fractionator open source?
Yes — it is published under the AGPL-3.0 licence, written in TypeScript, 18 stars on GitHub and 1 open issue. The source link is on this page, so you can read exactly what it does with your data before you connect it.