Todo, priority, estimation, burndown for AI agents
Runs on your machine from its package; the steps are below.
At most: creates or changes data: records, files, settings.
Odel charges nothing per call. The publisher may charge for its own service.
Runs locally over stdio
This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).
Run
npx -y @rog0x/mcp-task-tools
MCP client config
{
"mcpServers": {
"task": {
"command": "npx",
"args": [
"-y",
"@rog0x/mcp-task-tools"
]
}
}
}MCP server providing task and project management tools for AI agents.
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.
Sort tasks using established prioritization frameworks:
Estimate task duration using PERT methodology. Break work into subtasks, provide optimistic/realistic/pessimistic estimates, and get weighted expected time with configurable buffer.
Generate daily standup updates from the current task list. Outputs yesterday (completed), today (in progress), and blockers with summary statistics.
Calculate sprint burndown data. Given tasks with story points and sprint duration, computes ideal vs actual burndown, velocity metrics, and completion forecast.
npm install
npm run build
Add to your Claude Desktop config:
{
"mcpServers": {
"task-tools": {
"command": "node",
"args": ["path/to/mcp-task-tools/dist/index.js"]
}
}
}
MIT