# rhizome-mcp

> rhizome-mcp — odrin-rhizome-mcp. Use this tool when you need to coordinate task tracking and management for autonomous AI coding agents, requiring a reliable and local-first solution. It solves problems of inconsistent project views and dependency management, providing a durable and crash-safe environment for agent collaboration. With SQLite-based storage, it offers a lightweight interface for inputs such as project data and outputs like consistent project views and dependency graphs.

Canonical page: https://skillsregistry.net/skills/odrin-rhizome-mcp  
JSON: https://api.skillsregistry.net/v1/skills/odrin-rhizome-mcp

## Description

rhizome-mcp is a local-first MCP server for task tracking and coordination of autonomous AI coding agents, providing crash-safe issue claiming, durable project memory, and dependency graphs using SQLite. It enables agents from different MCP-compatible clients to share a consistent view of project work with no accounts, Docker, or network dependency.

## Trust

- **Trust score (0–1):** 0.42
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tps2mahpbb)
- **Repository:** <https://github.com/Odrin/rhizome-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": "odrin-rhizome-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/odrin-rhizome-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/odrin-rhizome-mcp/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