io.github.rog0x/task
Todo, priority, estimation, burndown for AI agents
Open source Open in the app JSON README (API)
About
Todo, priority, estimation, burndown for AI agents
Details
- Kind
- MCP servers
- Topic
- No topic detected
- Publisher
- rog0x
- Origin
- official
- Category
- ferramentas
- Transport
- local
- Version
- 1.0.1
- Last push
- 2026-03-21T20:21:28Z
- Repository state
- ativo
- Language
- TypeScript
- License
- NOASSERTION
- Added
- 2026-08-29 04:01:19
- Updated
- 2026-08-29 04:01:19
- Origin id
io.github.rog0x/task
README
# mcp-task-tools
MCP server providing task and project management tools for AI agents.
## Tools
### todo_manager
In-memory task list management. Add, complete, update status, delete, and list tasks with filtering by status, priority, and tags. Data persists within the session.
### priority_sorter
Sort tasks using established prioritization frameworks:
- **Eisenhower Matrix** — categorize by urgent/important into four quadrants (Do First, Schedule, Delegate, Eliminate)
- **RICE Scoring** — rank by Reach, Impact, Confidence, and Effort
- **MoSCoW Method** — classify as Must Have, Should Have, Could Have, or Won't Have
### time_estimator
Estimate task duration using PERT methodology. Break work into subtasks, provide optimistic/realistic/pessimistic estimates, and get weighted expected time with configurable buffer.
### standup_generator
Generate daily standup updates from the current task list. Outputs yesterday (completed), today (in progress), and blockers with summary statistics.
### burndown_calculator
Calculate sprint burndown data. Given tasks with story points and sprint duration, computes ideal vs actual burndown, velocity metrics, and completion forecast.
## Setup
```bash
npm install
npm run build
```
## Usage with Claude Desktop
Add to your Claude Desktop config:
```json
{
"mcpServers": {
"task-tools": {
"command": "node",
"args": ["path/to/mcp-task-tools/dist/index.js"]
}
}
}
```
## License
MIT