# docrag

> Use this tool when you need to enhance language models with on-demand access to technical documentation, solving knowledge gaps and information retrieval challenges. Docrag provides RAG capabilities, allowing LLMs to search and retrieve relevant documentation through MCP. Ideal for use cases requiring up-to-date and accurate technical information, docrag streamlines documentation access and generation.

Canonical page: https://skillsregistry.net/skills/ryan-m-bishop-docrag  
JSON: https://api.skillsregistry.net/v1/skills/ryan-m-bishop-docrag

## Description

Provides RAG (Retrieval Augmented Generation) access to technical documentation through MCP, enabling LLMs to search and retrieve relevant documentation on-demand.

## Trust

- **Trust score (0–1):** 0.67
- **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/qlz2hvqe3g)
- **Repository:** <https://github.com/ryan-m-bishop/docrag>

## 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": "ryan-m-bishop-docrag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ryan-m-bishop-docrag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ryan-m-bishop-docrag/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