# NeuroDock Task Fractionator

Turns a vague goal into 5–90 minute tasks and selects one safe next action. Use it when an MCP client needs a small, ordered work plan.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 17
- Author: tlennon-ie
- License: AGPL-3.0 · policy=link-only · description only; the file stays with the author
- Source: https://github.com/tlennon-ie/neurodock/tree/HEAD/packages/mcp-task-fractionator
- Updated: 2026-09-21
- HTML: https://affpapa.org/en/nevibecode/mcp/neurodock-task-fractionator

## What it does

NeuroDock Task Fractionator exposes two MCP tools. `decompose` turns a plain-language goal into atomic tasks with acceptance criteria, dependency order and tags. `next_one` returns exactly one pending task, plus a short rationale and a confidence score.

The server runs locally, makes no remote calls and contains no LLM call. Goal text is never written to logs. Decomposition results are stateless, while the next-task tool reads pending work through a `PendingTaskSource`.

Version v0.0.3 defaults to the in-memory source, so tasks must be seeded in the running process before `next_one` can select one. The `graph` source is still a Phase 2 stub and returns `COGNITIVE_GRAPH_UNAVAILABLE`, which is a concrete limit for persistent task storage.

## Requirements
- Needs: Python and uv (commands run via uvx)

## Install

### Claude Code (native platform)

**Platform CLI**
```bash
claude mcp add neurodock-mcp-task-fractionator -- uvx neurodock-mcp-task-fractionator
```
uvx runs the command named after the package; if the README names another one, use uvx --from neurodock-mcp-task-fractionator <command>

### Codex

**Platform CLI**
```bash
codex mcp add mcp-task-fractionator -- uvx neurodock-mcp-task-fractionator
```
uvx runs the command named after the package; if the README names another one, use uvx --from neurodock-mcp-task-fractionator <command>

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "mcp-task-fractionator": {
            "command": "uvx",
            "args": [
                "neurodock-mcp-task-fractionator"
            ]
        }
    }
}
```
uvx runs the command named after the package; if the README names another one, use uvx --from neurodock-mcp-task-fractionator <command>

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "mcp-task-fractionator": {
            "type": "stdio",
            "command": "uvx",
            "args": [
                "neurodock-mcp-task-fractionator"
            ]
        }
    }
}
```
uvx runs the command named after the package; if the README names another one, use uvx --from neurodock-mcp-task-fractionator <command>

### Gemini CLI

**Platform CLI**
```bash
gemini mcp add mcp-task-fractionator uvx neurodock-mcp-task-fractionator
```
uvx runs the command named after the package; if the README names another one, use uvx --from neurodock-mcp-task-fractionator <command>

## When to use it
- break a vague goal into 5–90 minute tasks
- attach acceptance criteria to each task
- order work around dependencies
- select one unblocked next action

## Example prompts
- Break “prepare the service release” into atomic tasks and fit them into `PT4H`.
- For project `founding-scope-rfc`, choose the single next task.
- Turn this initiative into dependency-ordered tasks with acceptance criteria.

## Similar
- [task-decomposition](https://affpapa.org/en/nevibecode/skills/task-decomposition.md) — skill · 593 installs
- [plan](https://affpapa.org/en/nevibecode/skills/hyperb1iss-plan.md) — skill · 604 installs
- [agentic-engineering](https://affpapa.org/en/nevibecode/skills/agentic-engineering.md) — skill · 4800 installs
- [pm-planning](https://affpapa.org/en/nevibecode/skills/pm-planning.md) — skill · ★ 107
- [task-observer](https://affpapa.org/en/nevibecode/skills/task-observer.md) — skill · 14700 installs
- [do-in-steps](https://affpapa.org/en/nevibecode/skills/do-in-steps.md) — skill · 1200 installs

From the same set: [tlennon-ie/neurodock](https://affpapa.org/en/nevibecode/by/tlennon-ie/neurodock.md) — 6 cards

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