# Markdown RAG MCP Server

> Use this tool when you need to enable semantic search and document ingestion for markdown documents, providing RAG capabilities and vector storage. It solves problems related to efficient document retrieval and analysis, allowing for intelligent search and information extraction. The server takes markdown documents as input and outputs relevant search results and embeddings, ideal for use cases involving knowledge graph construction and question answering within Cursor IDE.

Canonical page: https://skillsregistry.net/skills/sowmeshsharma0-markdown-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sowmeshsharma0-markdown-rag-mcp

## Description

A Model Context Protocol server that provides RAG capabilities for markdown documents using Qdrant for vector storage and Ollama for embeddings, enabling semantic search and document ingestion directly from Cursor IDE.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ksadq0yv4e)
- **Repository:** <https://github.com/SowmeshSharma0/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": "sowmeshsharma0-markdown-rag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sowmeshsharma0-markdown-rag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sowmeshsharma0-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