# pinrag

> pinrag — ndjordjevic-pinrag. Use this tool when you need to leverage a powerful RAG system for enhanced code generation and retrieval capabilities. Pinrag solves problems related to code completion, suggestion, and retrieval, integrating seamlessly with AI assistants like Cursor and VS Code. It accepts code-related inputs and outputs generated code snippets, making it ideal for development tasks that require efficient and accurate coding assistance.

Canonical page: https://skillsregistry.net/skills/ndjordjevic-pinrag  
JSON: https://api.skillsregistry.net/v1/skills/ndjordjevic-pinrag

## Description

A powerful RAG (Retrieval-Augmented Generation) system built with LangChain, designed as an MCP server for Cursor, VS Code, and other AI assistants

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/ndjordjevic/pinrag)

## 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": "ndjordjevic-pinrag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ndjordjevic-pinrag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ndjordjevic-pinrag/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