# concept-rag

> Use this tool when you need to perform conceptual searches over local documents, such as PDFs and EPUBs, to find relevant information based on concepts and ideas. It solves problems of information retrieval and document analysis by extracting concepts from a corpus and enriching them with WordNet data. The tool takes in local documents as input and outputs relevant search results, making it ideal for use cases where traditional keyword searches are insufficient.

Canonical page: https://skillsregistry.net/skills/m2ux-concept-rag  
JSON: https://api.skillsregistry.net/v1/skills/m2ux-concept-rag

## Description

Enables LLMs to perform conceptual search over local PDF/EPUB documents using a RAG pipeline with corpus-driven concept extraction and WordNet enrichment.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tpchz7l55t)
- **Repository:** <https://github.com/m2ux/concept-rag>

## 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": "m2ux-concept-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/m2ux-concept-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/m2ux-concept-rag/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