# Beads

> Use this tool when you need to streamline coding workflows and issue tracking with AI-assisted project management. Beads solves problems of dependency tracking, work discovery, and task management, accepting inputs from MCP servers and git-based collaborations, and outputting summarized issues and JSONL exports. It is ideal for use in AI-assisted development workflows, project management, and maintaining context across coding sessions.

Canonical page: https://skillsregistry.net/skills/steveyegge-beads  
JSON: https://api.skillsregistry.net/v1/skills/steveyegge-beads

## Description

An AI-supervised issue tracker designed for coding workflows that provides MCP server integration for task management, dependency tracking, and work discovery. Built by Steve Yegge, it combines SQLite storage with JSONL exports for git-based collaboration, featuring automatic compaction using Claude for issue summarization, daemon-based RPC for performance, and specialized tools for finding ready work, managing dependencies, and tracking discovered issues during development. The system supports multi-machine workflows through git synchronization and includes examples for agent automation, making it useful for AI-assisted development workflows, project management with dependency awareness, and maintaining context across coding sessions.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-05

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/steveyegge-beads)
- **Repository:** <https://github.com/gastownhall/beads/tree/HEAD/integrations/beads-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "steveyegge-beads"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/steveyegge-beads` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/steveyegge-beads/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt