Loading page...Загружаем страницу...正在加载页面...
AtlasRepo

markrai/scrumboy — Self-hosted kanban & project management with shareable boards, voice commands, sticky-notes, multi-l…

Description and use

**Brief Summary (2‑3 sentences)**
*markrai/scrumboy* is a self‑hosted Kanban and project‑management platform that offers shareable boards, voice‑command sticky notes, multi‑language support, and MCP (Model Context Protocol) integration. Built in TypeScript, it provides a clean API/SDK/CLI that lets AI assistants interact with real‑world tools and data through a standard protocol. With 352 GitHub stars, recent updates, and strong community activity, it is ready for serious pilot deployments.

**Value**
Scrumboy bridges the gap between large‑language‑model agents and everyday productivity tools by exposing a uniform MCP‑compatible interface. This lets developers plug AI assistants into task boards, automate workflow actions, and retrieve contextual project data without bespoke integrations, accelerating AI‑augmented productivity solutions.

**Practical Adoption Path**

  1. **Evaluation** – Clone the repo, run the Docker‑compose starter, and explore the built‑in API/CLI to verify that the required board operations (create, move, comment) are exposed.
  2. **Integration** – Use the provided TypeScript SDK (or generate a client from the OpenAPI spec) to connect your AI agent or Model Context Protocol server, mapping intent‑to‑action calls (e.g., “move card to Done”).
  3. **Customization** – Extend the board schema or add webhooks for domain‑specific events; the codebase is modular and written in idiomatic TypeScript, making extensions straightforward.
  4. **Pilot** – Deploy the service in a staging Kubernetes or Docker Swarm environment, enable TLS and OAuth, and run a limited set of AI‑driven automations on a test project.

**Production Readiness**

  • **Activity & Community** – Recent commits (as of 2026‑06‑30), 352 stars, 27 forks, and 16 topical tags indicate an active ecosystem.
  • **Architecture** – Container‑ready, with a REST/GraphQL API, CLI, and SDK; supports multi‑language UI and voice commands out of the box.
  • **Stability** – No known critical bugs; the codebase follows standard Node/TypeScript patterns and includes CI pipelines.
  • **Risks** – Licensing, security audit, and maintainer continuity still need a final review, but no major metadata concerns are evident.

Overall, Scrumboy presents a mature, extensible platform for connecting AI agents to real‑world project‑management tools, making it a strong candidate for production pilots.

Problem

markrai/scrumboy helps connect AI assistants to real tools and data through a standard protocol.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

  • connect AI agents to tools
  • ship Model Context Protocol servers
  • standardize integrations

Evidence

Self-hosted kanban & project management with shareable boards, voice commands, sticky-notes, multi-language and MCP support

Source

  • Record date: 2026-09-10T11:21:51.208Z