# ragwatcher

> ragwatcher — neumann-mlucas-ragwatcher. Use this tool when you need to efficiently monitor and index a directory's contents with minimal setup, as it provides a local Recursive Aggregate Graph (RAG) with incremental indexing and zero-config defaults, serving as both an MCP tool and a Command-Line Interface (CLI) for offline CPU-only operation. It solves problems related to directory monitoring, indexing, and graph-based data analysis. Ideal for use cases requiring low-overhead, local data processing and graph exploration.

Canonical page: https://skillsregistry.net/skills/neumann-mlucas-ragwatcher  
JSON: https://api.skillsregistry.net/v1/skills/neumann-mlucas-ragwatcher

## Description

Local RAG over a directory, served as an MCP tool plus CLI, with incremental indexing, zero-config defaults, and offline CPU-only operation.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gztwiln9iu)
- **Repository:** <https://github.com/neumann-mlucas/ragwatcher>

## 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": "neumann-mlucas-ragwatcher"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neumann-mlucas-ragwatcher` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neumann-mlucas-ragwatcher/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