ShadowWalker2014/open-sunsama — The first AI-native, open-source task manager.

Description and use

**Brief Summary**
ShadowWalker2014/open‑sunsama is an open‑source, AI‑native task‑management platform that implements the Model‑Context‑Protocol (MCP) server for Claude, Cursor and other LLMs. It offers a REST API, time‑blocking, and a Kanban board, providing a self‑hostable alternative to Sunsama that lets AI agents read, write, and act on real‑world task data.

**Value**

• **AI‑first integration** – By exposing a standard MCP endpoint, the project lets any LLM‑powered assistant treat the task manager as a first‑class tool, enabling natural‑language scheduling, prioritisation, and status updates.
• **Unified protocol** – The same MCP server can be reused across different AI models (Claude, Cursor, etc.), reducing the engineering effort required to build custom connectors for each assistant.
• **Full‑stack stack** – With a TypeScript backend, REST API, and a ready‑to‑use frontend (Kanban + time‑blocking), teams get both the data layer and the UI without writing additional glue code.

**Practical Adoption Path**

1. **Deploy the server** – Use Docker or the provided Helm chart to spin up the MCP server in a private cloud or on‑premise.
2. **Configure AI credentials** – Register the server’s endpoint and authentication token in the LLM’s tool‑calling configuration (e.g., Claude’s “tool” spec).
3. **Connect existing workflows** – Point existing task‑tracking tools (Jira, Asana, etc.) to the open‑sunsama API via simple adapters or the built‑in CLI, migrating data if needed.
4. **Iterate with prompts** – Write or import prompt templates that call the MCP methods (list_tasks, create_task, block_time, etc.) to let the AI schedule work autonomously.
5. **Scale & monitor** – Leverage the built‑in health endpoints and logs; add a reverse‑proxy for TLS and rate‑limiting as you move from pilot to production.

**Production Readiness**

• **Active development** – Last commit on 2026‑06‑30, 38 stars, 9 forks, and a healthy set of topics indicate a vibrant community.
• **Mature stack** – TypeScript backend, REST API, and Docker images are industry‑standard, making integration and CI/CD straightforward.
• **Signal strength** – The project already ships a complete UI, SDK/CLI, and clear API docs, which lowers the barrier for internal pilots.
• **Remaining checks** – Before full rollout, verify the open‑source license compatibility, run a security audit of dependencies, and confirm that maintainers have a clear on‑call process. Once these are cleared, the codebase is solid enough for serious production use.

Problem

ShadowWalker2014/open-sunsama 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

The first AI-native, open-source task manager. MCP server for Claude/Cursor, REST API, time blocking, kanban board. Self-hostable Sunsama alternative.

Source