# Markdown RAG MCP

> Use this tool when you need to semantically search markdown documentation using natural language queries, solving problems of information retrieval and knowledge discovery in large document collections. It integrates with MCP clients, taking in natural language inputs and returning relevant markdown documentation outputs. Ideal for use cases where quick and accurate access to specific information within markdown documents is required.

Canonical page: https://skillsregistry.net/skills/mohllal-markdown-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mohllal-markdown-rag-mcp

## Description

Provides semantic search over markdown documentation using RAG, allowing natural language queries and integration with MCP clients.

## Trust

- **Trust score (0–1):** 0.02
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/baiaw0vmpl)
- **Repository:** <https://github.com/mohllal/markdown-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": "mohllal-markdown-rag-mcp"
    }
  }
}
```

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