# rag-mcp

> rag-mcp — swabhimanc-pdf-rag. Use this tool when you need to perform hybrid semantic and keyword searches over locally indexed PDF documentation. It solves problems related to information retrieval and context understanding by providing read-only access to MCP tools with citations and context retrieval. Ideal for LLM agents requiring accurate and relevant information from PDF documents.

Canonical page: https://skillsregistry.net/skills/swabhimanc-pdf-rag  
JSON: https://api.skillsregistry.net/v1/skills/swabhimanc-pdf-rag

## Description

Provides read-only MCP tools for hybrid semantic and keyword search over locally indexed PDF documentation, with citations and context retrieval for LLM agents.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/skxv4hmsqs)
- **Repository:** <https://github.com/Swabhimanc/PDF-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": "swabhimanc-pdf-rag"
    }
  }
}
```

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