# markdown-to-notion

> Use this tool when you need to convert markdown files into Notion pages, streamlining migrations and publishing workflows by automating the transformation of existing documents into polished, ready-to-use content. It takes markdown files as input and produces formatted Notion pages as output, preserving the original structure and formatting. Ideal for saving time and avoiding manual copy-paste efforts when migrating or publishing content to Notion.

Canonical page: https://skillsregistry.net/skills/xiaobenyang-com-markdown-to-notion  
JSON: https://api.skillsregistry.net/v1/skills/xiaobenyang-com-markdown-to-notion

## Description

Convert markdown into polished Notion pages while preserving structure and formatting. Streamline migrations and publishing workflows by turning existing docs into ready-to-use Notion content. Save time and avoid manual copy-paste by automating the transformation from files to pages.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/xiaobenyang-com/markdown-to-notion)
- **Repository:** <https://github.com/xiaobenyang-com/1777316659401731>

## 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": "xiaobenyang-com-markdown-to-notion"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-markdown-to-notion` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-markdown-to-notion/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
