# io.github.Brightdotdev/darwin-rag

> io.github.Brightdotdev/darwin-rag — brightdotdev-darwin. Use this tool when you need to integrate AI-powered search and answer synthesis into your application, providing hybrid search, reranking, and large language model (LLM) answer generation from local documents such as PDFs, Markdown files, and images. It solves problems of information retrieval and question answering by ingesting various document types and generating human-like answers. Ideal for use cases requiring local-first, AI-driven search and answer synthesis, with inputs including documents and queries, and outputs featuring relevant search results and synthesized answers.

Canonical page: https://skillsregistry.net/skills/brightdotdev-darwin  
JSON: https://api.skillsregistry.net/v1/skills/brightdotdev-darwin

## Description

A local-first RAG engine that ingests documents (PDF, Markdown, images, etc.) and provides hybrid search, reranking, and LLM answer synthesis via MCP for AI agent integration.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mi8zqolf7i)
- **Repository:** <https://github.com/Brightdotdev/DARWIN>

## 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": "brightdotdev-darwin"
    }
  }
}
```

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