# rag-mcp

> Use this tool when you need to organize and search local documents efficiently, and solve problems like information overload and knowledge retrieval. It indexes various file types, including PDF, Markdown, and code, and enables semantic search using local embeddings, ensuring private and secure querying. Ideal for use cases where privacy and speed are crucial, such as research, note-taking, or personal knowledge management.

Canonical page: https://skillsregistry.net/skills/kamalesh-kavin-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kamalesh-kavin-rag-mcp

## Description

Enables indexing local documents (PDF, Markdown, text, code) into a knowledge base and querying them via semantic search using local embeddings, all running privately on your machine.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vdd0lo94va)
- **Repository:** <https://github.com/Kamalesh-Kavin/rag-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": "kamalesh-kavin-rag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kamalesh-kavin-rag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kamalesh-kavin-rag-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