# Markdown RAG Documentation

> Use this tool when you need to efficiently search and retrieve information from local Markdown documentation. It solves problems of information discovery and knowledge management by providing semantic search capabilities that combine embeddings, keyword search, and graph traversal. The tool accepts Markdown files as input and outputs relevant search results, making it ideal for use cases where quick access to specific documentation is required.

Canonical page: https://skillsregistry.net/skills/andnp-ragdocs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/andnp-ragdocs-mcp

## Description

Enables semantic search over local Markdown documentation using hybrid retrieval combining embeddings, keyword search, and graph traversal with automatic file watching and zero-configuration setup.

## Trust

- **Trust score (0–1):** 0.09
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j0xogqgoak)
- **Repository:** <https://github.com/andnp/ragdocs-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": "andnp-ragdocs-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andnp-ragdocs-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andnp-ragdocs-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