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by zerowand01 · MCP Server · ★ 181
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🔒 Is markplane safe to install? View the security audit →
Project management in your repo, built for AI collaboration. Every developer using AI coding assistants hits the same wall: the AI is great at code, but clueless about the project. It doesn't know what you're building, what's blocked, or what's next. Meanwhile, your project data is locked in a SaaS tool that lives outside your codebase, outside your editor, outside your flow. Markplane stores every task, epic, and plan as a markdown file inside your repo — version-controlled with git, browsable with any editor, and automatically compressed into token-efficient summaries your AI assistant can read and act on. No database, no SaaS, no context-switching. Quickstart Install (see below) Initialize in your project: (details) Open the web UI: Connect your AI via MCP (setup guide) Just tell your AI wha
| Stars | 181 |
| Forks | 20 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.9051217595063/100 |
| Open Issues | 11 |
| Last Updated | 2026-09-12 |
| Created | 2026-03-03 |
| Platforms | claude-code, cli, mcp, rust |
| Est. Tokens | ~25k |
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markplane is AI-native, markdown-first project management. Your repo is the project manager.. It is categorized as a MCP Server with 181 GitHub stars.
markplane is primarily written in Rust. It covers topics such as ai, ai-native, claude-code.
You can find installation instructions and usage details in the markplane GitHub repository at github.com/zerowand01/markplane. The project has 181 stars and 20 forks, indicating an active community.
markplane is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to markplane on Agent Skills Hub include daymon, shep, mcp-fusion. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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