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Sprinty

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A disciplined-sprint MCP server for AI coding agents, providing structured sprint management with immutable append-only ledger, programmatic close-gates, and li

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Описание

A disciplined-sprint MCP server for AI coding agents, providing structured sprint management with immutable append-only ledger, programmatic close-gates, and live dashboard.

README

Disciplined sprint tracking for AI coding agents.

Sprinty is an MCP server that gives agents a structured way to plan, execute, verify, and close non-trivial coding work. It keeps the sprint record local, append-only, and tied to real git commits, so an agent cannot quietly lose track of work, invent ids, or mark items done without evidence.

Why Use Sprinty?

Without Sprinty, long agent sessions often drift:

  • work gets tracked in loose prose that is hard to resume;
  • tasks are marked done without a real commit or passing gate evidence;
  • follow-up context disappears after a restart;
  • humans cannot easily see what the agent is doing right now.

With Sprinty, the agent gets MCP tools for:

  • sprint, subsprint, and item tracking with server-minted ids;
  • dependency edges, blocked work, and cycle detection;
  • item gates that require passing evidence before completion;
  • git commit validation and per-item change maps;
  • notes and artifacts attached to the sprint record;
  • compact overview, next, and search reads for agent token budgets;
  • a local dashboard URL returned by sprint_new and sprint_resume;
  • strict sprint_close checks that refuse to close while work, coverage, or gates are missing.

Installation

Sprinty is published as the npm package sprinty-mcp.

npx -y sprinty-mcp

The server is usually launched by an MCP client. Sprinty works with any MCP client that can run a local command.

Codex

Add Sprinty to ~/.codex/config.toml:

[mcp_servers.sprinty]
command = "npx"
args = ["-y", "sprinty-mcp"]

Claude Code

claude mcp add sprinty -- npx -y sprinty-mcp

The repository also includes a Claude plugin manifest in clients/claude/.

Gemini CLI

From a repository checkout:

gemini extensions install ./clients/gemini

The Gemini extension uses clients/gemini/gemini-extension.json and clients/gemini/GEMINI.md.

Codex Plugin From A Checkout

For local plugin development from this repository:

codex plugin marketplace add .
codex plugin add sprinty@sprinty-local

The installable plugin bundle lives in plugins/sprinty/.

Quick Start

Sprinty never guesses the repository from the MCP server process cwd. Start a sprint with explicit paths:

{
  "goal": "Ship the dashboard lifecycle change",
  "git_dir": "/absolute/path/to/repo",
  "data_dir": "/absolute/path/to/repo/.sprinty",
  "context_notes": ["optional notes for the agent"]
}
  • git_dir is where Sprinty checks commits, runs gates, reads coverage, and builds change maps.
  • data_dir is where Sprinty stores the current pointer and JSONL ledgers.
  • Use a worktree-scoped, gitignored data_dir, such as <git_dir>/.sprinty.

After a restart, inspect and resume the same sprint:

sprint_list({ data_dir })
sprint_resume({ git_dir, data_dir })

You can also pre-bind a read-only MCP process with both environment variables:

SPRINTY_GIT_DIR=/absolute/path/to/repo
SPRINTY_DATA_DIR=/absolute/path/to/repo/.sprinty

Both SPRINTY_GIT_DIR and SPRINTY_DATA_DIR are required together.

Basic Workflow

sprint_new({ goal, git_dir, data_dir, context_notes? })
  -> returns dashboard.url
overview({})
subsprint_new({ description, goals, gates, dependencies? })
item_add({ subsprint, title, description, code_locations, gates, dependencies?, high_priority? })
next({})
item_done({ id, commit_id, gate_results, changelog })
changelog({})
sprint_close({ coverage: { path, format: "lcov", command? } })

Use item_split when an item is too large and item_deprecate when an item is intentionally dropped. Use sprint_detach before switching one MCP process to a different sprint.

Dashboard

sprint_new and sprint_resume automatically start a read-only local dashboard and return:

{
  "dashboard": {
    "running": true,
    "url": "http://127.0.0.1:60767",
    "port": 60767
  }
}

Open the URL in a browser to watch progress while the agent works. The dashboard shows sprint status, items, blocked work, gates, artifacts, changelog entries, change maps, and the ledger.

Dashboard tools:

  • dashboard_info returns the current dashboard URL and port without restarting it.
  • dashboard_restart restarts the dashboard server and returns the new URL and port.
  • sprint_close, sprint_archive, and sprint_detach stop the dashboard.

Available Tools

Sprint Tools

Tool What it does
sprint_new Start a sprint with explicit git_dir and data_dir; returns orientation and dashboard info.
sprint_resume Reattach to an existing sprint after an MCP restart; returns dashboard info.
sprint_list List ledgers in a data_dir without creating a sprint.
sprint_detach Clear this MCP process binding and stop the dashboard.
sprint_close Re-run gates, require coverage evidence, and close only when all work is resolved.
sprint_archive Archive an active sprint with a recovery reason.
overview Compact sprint summary for orientation.
next Compact active work window with available and blocked items.
search Regex search over the immutable sprint ledger.
changelog Render the sprint changelog and change-map summary as Markdown.

Work Tools

Tool What it does
subsprint_new Create a feature-sized unit of work.
subsprint_list List subsprints with compact item counts.
subsprint_get Read one subsprint and its item rows.
item_add Create one atomic, gated item.
item_get Read full item detail.
item_update Update item metadata, notes, priority, or dependency edges.
item_done Complete an item with a real commit, passing gate evidence, and changelog line.
item_split Resolve an oversized item by creating a new subsprint.
item_deprecate Drop an item with an explicit reason.

Notes And Artifacts

Tool What it does
note_add Attach a note to an item.
note_list List notes for an item.
note_get Read one note.
note_update Update one note.
artifact_add Attach a durable file path to the sprint.
artifact_list List active artifacts.
artifact_get Read one artifact record.
artifact_update Update artifact metadata.

Dashboard Tools

Tool What it does
dashboard_info Report whether the dashboard is running and, if so, its URL and port.
dashboard_restart Restart the dashboard and return the new URL and port.

How Sprinty Stores Data

Sprinty writes one append-only JSONL ledger per sprint under data_dir. The ledger is local state; keep it out of git unless you intentionally want to preserve it elsewhere. Sprinty projects that ledger into compact read models for agents and into the dashboard for humans.

Completed items record the commit id, gate results, changelog entry, and Git-backed file change map. sprint_close re-checks commits, re-runs executable gates, requires coverage evidence, and refuses to close while any item is still open.

More Documentation

Development

npm install
npm test
npm run typecheck
npm run build

License

Apache-2.0 © Elie Bursztein

from github.com/ebursztein/sprinty

Установить Sprinty в Claude Desktop, Claude Code, Cursor

Рекомендуется · одна команда, все IDE
unyly install sprinty

Ставит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.

Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh

Или настроить вручную

Выполни в терминале:

claude mcp add sprinty -- npx -y sprinty-mcp

FAQ

Sprinty MCP бесплатный?

Да, Sprinty MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Sprinty?

Нет, Sprinty работает без API-ключей и переменных окружения.

Sprinty — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Sprinty в Claude Desktop, Claude Code или Cursor?

Открой Sprinty на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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