# grounding-ai

> Use this tool when you need to ingest and process large documents in PDF and EPUB formats for retrieval by Large Language Models (LLMs), solving the problem of information extraction and retrieval from unstructured text data. It takes in PDF and EPUB documents as input and outputs a formatted data structure for LLM-retrieval, enabling efficient question-answering and text-based applications. Ideal for use cases where accessing and retrieving specific information from lengthy documents is crucial.

Canonical page: https://skillsregistry.net/skills/andyliszewski-grounding-ai  
JSON: https://api.skillsregistry.net/v1/skills/andyliszewski-grounding-ai

## Description

Ingests pdf and epub documents for LLM-retrieval (RAG)

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-15

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vxygk1arc2)
- **Repository:** <https://github.com/andyliszewski/grounding-ai>

## 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": "andyliszewski-grounding-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andyliszewski-grounding-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andyliszewski-grounding-ai/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